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Shusaku Tsumoto
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- affiliation: Shimane University, Japan
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2020 – today
- 2023
- [c359]Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano:
Analysis of Medical Incident Reports using Text Mining*. IEEE Big Data 2023: 6057-6062 - [c358]Hiroyuki Ikedo, Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano:
Using Hospital Information System Data to Estimate Nursing Care Needs. IEEE Big Data 2023: 6063-6068 - 2022
- [j58]Shusaku Tsumoto
, Tomohiro Kimura, Shoji Hirano:
Expectation-Maximization (EM) Clustering as a Preprocessing Method for Clinical Pathway Mining. Rev. Socionetwork Strateg. 16(1): 25-52 (2022) - [j57]Shusaku Tsumoto
, Tomohiro Kimura, Shoji Hirano:
Order Trajectory Analysis for Monitoring Clinical Process. Rev. Socionetwork Strateg. 16(1): 53-70 (2022) - [c357]Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano:
Similarity Analysis of Order Trajectory for Hospital Management. IEEE Big Data 2022: 6232-6238 - [c356]Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano, Katsutoshi Yada:
Temporal Data Mining in AI-based Patient Navigation Service. IEEE Big Data 2022: 6239-6246 - [e16]Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan:
IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. IEEE 2022, ISBN 978-1-6654-8045-1 [contents] - 2021
- [j56]Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
Mining Clinical Process from Hospital Information System: A Granular Computing Approach. Fundam. Informaticae 182(2): 181-218 (2021) - [j55]Shusaku Tsumoto
, Tomohirno Kimura, Shoji Hirano:
Determination of Disease from Discharge Summaries. Rev. Socionetwork Strateg. 15(1): 49-66 (2021) - [j54]Shusaku Tsumoto
, Tomohiro Kimura, Shoji Hirano:
Mining Clinical Pathways Using Dual Clustering. Rev. Socionetwork Strateg. 15(2): 287-307 (2021) - [c355]Shusaku Tsumoto:
Granular Computing based Comparison of Agglomerative Clustering. IEEE BigData 2021: 5553-5560 - [c354]Shusaku Tsumoto:
Empirical Rule Induction Methods Selection. IEEE BigData 2021: 5561-5570 - [c353]Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Comparison of Clustering Strategies using a Partition Tree. IST 2021: 1-6 - 2020
- [c352]Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Automated Dual Clustering for Clinical Pathway Mining*. IEEE BigData 2020: 5387-5396 - [c351]Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Order Trajectory Analysis in Hospital Information System*. IEEE BigData 2020: 5397-5404 - [c350]Tiago Oliveira
, Jérémie Dauphin, Ken Satoh, Shusaku Tsumoto, Paulo Novais
:
Goal-Driven Structured Argumentation for Patient Management in a Multimorbidity Setting. CLAR 2020: 166-183 - [c349]Katsutoshi Yada, Ken Ishibashi, Taku Ohashi, Danhua Wang, Shusaku Tsumoto:
How Shoppers Walk and Shop in a Supermarket. ICDM (Workshops) 2020: 114-118 - [c348]Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
From Texts to Classification Knowledge. IFIP TC12 ICIS 2020: 173-184 - [c347]Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Mining in Discharge Summaries. JSAI 2020: 61-72
2010 – 2019
- 2019
- [c346]Shoji Hirano, Shusaku Tsumoto:
Mining frequent temporal patterns from medical data based on fuzzy ranged relations. IEEE BigData 2019: 2654-2658 - [c345]Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Estimation of Disease Code from Electronic Patient Records. IEEE BigData 2019: 2698-2707 - [c344]Shoji Hirano, Haruko Iwata, Tomohiro Kimura, Shusaku Tsumoto:
Clinical Pathway Generation from Order Histories and Discharge Summaries. ICDM Workshops 2019: 333-340 - [c343]Shusaku Tsumoto, Shoji Hirano:
Granular Rules for Medical Diagnosis. IFSA/NAFIPS 2019: 681-691 - 2018
- [j53]Yingxu Wang, Victor Raskin, Julia Rayz, George Baciu, Aladdin Ayesh, Fumio Mizoguchi, Shusaku Tsumoto, Dilip Patel, Newton Howard:
Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems. Int. J. Softw. Sci. Comput. Intell. 10(1): 1-14 (2018) - [c342]Tiago Oliveira, Jérémie Dauphin, Ken Satoh, Shusaku Tsumoto, Paulo Novais:
Argumentation with Goals for Clinical Decision Support in Multimorbidity. AAMAS 2018: 2031-2033 - [c341]Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
From Hospital Big Data to Clinical Process: A Granular Computing Approach. IEEE BigData 2018: 2669-2678 - [c340]Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
Construction of Clinical Pathway Generation from Nursing Records and Discharge Summaries. ICDM Workshops 2018: 470-477 - [c339]Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Empirical Comparison of Distances for Agglomerative Hierarchical Clustering. IPMU (2) 2018: 538-548 - [c338]Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Clinical Pathway Generation from Hospital Information System. ITQM 2018: 545-553 - [c337]Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
Clinical Pathway Generation Based on Hierarchical Clustering and EM Clustering. SMC 2018: 1327-1332 - [c336]Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata:
Empirical Comparison of Similarities for Agglomerative Hierarchical Clustering. SMC 2018: 3405-3410 - 2017
- [j52]Yingxu Wang
, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu
, D. Frank Hsu, Guiming Luo, Fumio Mizoguchi, Shushma Patel
, Victor Raskin, Shusaku Tsumoto, Wei Wei, Du Zhang:
Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering. Int. J. Cogn. Informatics Nat. Intell. 11(1): 1-15 (2017) - [c335]Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Construction of discharge summaries classifier. IEEE ICCI*CC 2017: 513-519 - [c334]Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Mining text for disease diagnosis in hospital information system. IEEE BigData 2017: 1850-1859 - [c333]Shoji Hirano, Shusaku Tsumoto:
Frequent Temporal Pattern Mining for Medical Data Based on Ranged Relations. ICDM Workshops 2017: 612-616 - [c332]Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Construction of Discharge Summaries Classifier. ICHI 2017: 74-82 - [c331]Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Discharge Summaries Classifier. IIH-MSP (2) 2017: 352-360 - [c330]Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Mining Text for Disease Diagnosis. ITQM 2017: 1133-1140 - [c329]Shusaku Tsumoto, Shoji Hirano:
Induction of Rule for Differential Diagnosis. IJCRS (1) 2017: 350-361 - 2016
- [j51]Shusaku Tsumoto, Shoji Hirano:
Multidimensional temporal mining in hospital information system. Int. J. Comput. Intell. Stud. 5(3/4): 317-337 (2016) - [j50]Mei-Hui Wang, Kanta Kurozumi, Mikiko Kawaguchi, Chang-Shing Lee
, Hiroshi Tsuji, Shusaku Tsumoto:
Healthy diet assessment mechanism based on fuzzy markup language for Japanese food. Soft Comput. 20(1): 359-376 (2016) - [c328]Shusaku Tsumoto, Shoji Hirano:
Active mining process for software quality estimation. ICCI*CC 2016: 268-274 - [c327]Shusaku Tsumoto, Shoji Hirano:
Construction of linguistic variables based on rule induction and concept hierarchy. ICCI*CC 2016: 516-522 - [c326]Shusaku Tsumoto, Michinori Nakata, Hiroshi Sakai
, Chenxi Liu:
A proposal of a privacy-preserving questionnaire by non-deterministic information and its analysis. IEEE BigData 2016: 1956-1965 - [c325]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Construction of clinical pathway from histories of clinical actions in hospital information system. IEEE BigData 2016: 1972-1981 - [c324]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, Norio Yoshimoto, Tomohiro Kimura:
Mining process for improvement of clinical process quality. IEEE BigData 2016: 1982-1990 - [c323]Shusaku Tsumoto, Shoji Hirano:
Incremental Updates of Rough Set-Based Probabilistic Rules. CMCSN 2016: 28-31 - [c322]Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
A Data Mining Approach on the Structure of Patient Satisfaction in HCAHPS Databases. ICHI 2016: 311 - [c321]Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Dual Clustering for Clinical Care Construction. ICHI 2016: 314 - [c320]Shusaku Tsumoto, Shoji Hirano:
On Behavior of Statistical Indices in Incremental Context. IJCRS 2016: 483-492 - [c319]Shusaku Tsumoto, Shoji Hirano:
Linguistic Variables Construction in Information Table. IJCRS 2016: 493-502 - [c318]Shusaku Tsumoto, Shoji Hirano:
Construction of linguistic variables from data and domain knowledge. SMC 2016: 4519-4524 - 2015
- [j49]Haruko Iwata, Shoji Hirano, Shusaku Tsumoto:
Maintenance and Discovery of Domain Knowledge for Nursing Care using Data in Hospital Information System. Fundam. Informaticae 137(2): 237-252 (2015) - [c317]Shusaku Tsumoto, Shoji Hirano:
Mining probabilistic rules using nonmonotonic rule layers. ICCI*CC 2015: 184-191 - [c316]Shusaku Tsumoto, Shoji Hirano:
Analytics for Hospital Management. ASE BD&SI 2015: 15:1-15:6 - [c315]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Dual Clustering and Data Decomposition for Nursing Care Management. ASE BD&SI 2015: 24:1-24:6 - [c314]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Data decomposition and dual clustering for clinical care management. IEEE BigData 2015: 1475-1584 - [c313]Shusaku Tsumoto, Shoji Hirano:
Granular formalization of medical diagnostic process. IEEE BigData 2015: 1608-1614 - [c312]Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
The Change of the Structure of Patient Satisfaction by Waiting Time, Length of Stay and Hospital Rebuilding in Japan. ICDM Workshops 2015: 336-344 - [c311]Shusaku Tsumoto, Shoji Hirano:
Rule Mining Based on Nonmonotonic Rule Layers and Its Application to Medicine. ICDM Workshops 2015: 365-372 - [c310]Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
The Effects of Waiting Time, Length of Stay, and Hospital Remodeling on the Structure of Patient Satisfaction. ICServ 2015: 287-297 - [c309]Shusaku Tsumoto, Shoji Hirano, Toshihiko Kawamura:
Statistical Estimation of Software Quality in Hospital Information System. ICServ 2015: 341-350 - [c308]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Mining Schedule of Nursing Care Based on Dual-Clustering. ITQM 2015: 1203-1212 - [c307]Shusaku Tsumoto, Shoji Hirano:
Layered Rule Induction. ITQM 2015: 1213-1220 - [c306]Takahiro Suzuki, Shunsuke Doi, Yutaka Hatakeyama, Masayuki Honda, Yasushi Matsumura, Gen Shimada, Mitsuhiro Takasaki, Shusaku Tsumoto, Hideto Yokoi, Katsuhiko Takabayashi:
Clinical application of the integrated multicenter discharge summary database. MedInfo 2015: 1120 - [c305]Shusaku Tsumoto, Shoji Hirano:
Formalization of Medical Diagnostic Rules. RSFDGrC 2015: 24-35 - 2014
- [j48]Shusaku Tsumoto, Haruko Iwata, Shoji Hirano, Yuko Tsumoto:
Similarity-based behavior and process mining of medical practices. Future Gener. Comput. Syst. 33: 21-31 (2014) - [j47]Toshihiko Kawamura, Tomohiro Kimura, Shusaku Tsumoto:
Estimation of Service Quality of a Hospital Information System Using a Service Log. Rev. Socionetwork Strateg. 8(2): 53-68 (2014) - [c304]Shusaku Tsumoto, Shoji Hirano:
Incremental rule induction based on updates of statistical indices. ICCI*CC 2014: 408-415 - [c303]Shusaku Tsumoto, Shoji Hirano:
Formal analysis of cross-validation for rule induction using probabilistic indices. ICCI*CC 2014: 416-423 - [c302]Shusaku Tsumoto, Shoji Hirano:
Formal analysis of cross-validation based on decremental sampling scheme. GrC 2014: 298-303 - [c301]Shusaku Tsumoto, Shoji Hirano:
Probabilistic rule induction based on incremental sampling scheme. GrC 2014: 304-309 - [c300]Shusaku Tsumoto, Shoji Hirano:
Healthcare IT: Integration of consumer healthcare data and electronic medical records for chronic disease management. GrC 2014: 310-315 - [c299]Shoji Hirano, Shusaku Tsumoto:
Visualization of Patient Distributions in a Hospital Based on the Clinical Actions Stored in EHR. ICDM Workshops 2014: 284-288 - [c298]Toshihiko Kawamura, Tomohiro Kimura, Shusaku Tsumoto:
Data Mining-Based Service Quality Estimation in Hospital Information System. ICDM Workshops 2014: 289-295 - [c297]Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
Factors of Patient Satisfaction Based on Distant Analysis in HCAHPS Databases. ICDM Workshops 2014: 328-337 - [c296]Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
Exploratory Analysis of Factors of Patient Satisfaction in HCAHPS Databases. ICServ 2014: 229-244 - [c295]Haruko Iwata, Shoji Hirano, Shusaku Tsumoto:
Construction of Clinical Pathway based on Similarity-based Mining in Hospital Information System. ITQM 2014: 1107-1115 - [c294]Shoji Hirano, Shusaku Tsumoto:
Mining Typical Order Sequences from EHR for Building Clinical Pathways. PAKDD Workshops 2014: 39-49 - [c293]Shusaku Tsumoto, Shoji Hirano:
Evaluation of Leave-One Out Method Based on Incremental Sampling Scheme. RSEISP 2014: 225-236 - [c292]Shoji Hirano, Shusaku Tsumoto:
Visualizing dynamics of patients in hospitals using devise locations. SMC 2014: 2547-2550 - [c291]Shusaku Tsumoto, Shoji Hirano:
Formal analysis of leave-one out method based on decremental sampling scheme. SMC 2014: 2780-2785 - [c290]Shusaku Tsumoto, Shoji Hirano:
Homological analysis of statistical dependence. SMC 2014: 2786-2791 - [c289]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Towards Data-Oriented Schedule Management in Hospital. SRII Global Conference 2014: 181-190 - [c288]Shusaku Tsumoto, Shoji Hirano:
Formal Analysis of Leave-One-Out Methods Based on Decremental Sampling Scheme. WI-IAT (1) 2014: 371-378 - [c287]Shusaku Tsumoto, Shoji Hirano:
Formal Analysis of Statistical Dependence Based Homological Algebra. WI-IAT (1) 2014: 379-385 - 2013
- [j46]Shusaku Tsumoto, Shoji Hirano:
Incremental Induction of Medical Diagnostic Rules Based on Incremental Sampling Scheme and SubRule Layers. Fundam. Informaticae 127(1-4): 209-223 (2013) - [j45]Yingxu Wang
, Gabriele Fariello, Marina L. Gavrilova
, Witold Kinsner, Fumio Mizoguchi, Shushma Patel
, Dilip Patel, Fernando L. Pelayo
, Victor Raskin, Duane F. Shell
, Shusaku Tsumoto:
Perspectives on Cognitive Computers and Knowledge Processors. Int. J. Cogn. Informatics Nat. Intell. 7(3): 1-24 (2013) - [j44]Shusaku Tsumoto, Shoji Hirano:
Combinatorics of Information Granule in Contingency Table. Int. J. Intell. Syst. 28(9): 892-906 (2013) - [j43]Shusaku Tsumoto, Shoji Hirano:
Combinatorics in Pearson residuals. Int. J. Knowl. Eng. Soft Data Paradigms 4(1): 72-84 (2013) - [j42]Shusaku Tsumoto:
Special issue on challenges in knowledge discovery and data mining. J. Intell. Inf. Syst. 41(1): 1-4 (2013) - [j41]Shoji Hirano, Shusaku Tsumoto:
Clustering of non-metric proximity data based on bi-links with ϵ-indiscernibility. J. Intell. Inf. Syst. 41(1): 61-71 (2013) - [j40]Eisuke Hanada
, Takato Kudou, Shusaku Tsumoto:
Installation of Secure, Always Available Wireless LAN Systems as a Component of the Hospital Communication Infrastructure. J. Medical Syst. 37(3): 9939 (2013) - [c286]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Granularity-based mining for construction of nursing care plan. ICCI*CC 2013: 282-291 - [c285]Guo-Cheng Lan, Tzung-Pei Hong
, Pei-Shan Wu, Shusaku Tsumoto:
Mining hierarchical temporal association rules in a publication database. ICCI*CC 2013: 503-508 - [c284]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Mining nursing care plan from data extracted from hospital information system. ASONAM 2013: 956-961 - [c283]Shoji Hirano, Shusaku Tsumoto:
Cluster analysis of treatment processes based on the typicalness measure for building clinical pathways. BIBM 2013: 31-32 - [c282]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Granularity-based temporal data mining in hospital information system. IEEE BigData 2013: 32-40 - [c281]Haruko Iwata, Shoji Hirano, Shusaku Tsumoto:
Mining Clinical Pathway Based on Clustering and Feature Selection. Brain and Health Informatics 2013: 237-245 - [c280]Shusaku Tsumoto, Shoji Hirano:
Incremental Induction of Medical Diagnostic Rules. Brain and Health Informatics 2013: 409-417 - [c279]Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Clinical schedule management based on granularity-based mining. CYBCONF 2013: 237-242 - [c278]Kanta Kurozumi, Shun-Teng Lan, Mei-Hui Wang, Chang-Shing Lee
, Mikiko Kawaguchi, Shusaku Tsumoto, Hiroshi Tsuji:
FML-based Japanese diet assessment system. FUZZ-IEEE 2013: 1-6 - [c277]Shusaku Tsumoto, Shoji Hirano:
Evaluation of set-based indices based on incremental sampling framework. FUZZ-IEEE 2013: 1-8 - [c276]Shusaku Tsumoto, Shoji Hirano:
Algebraic analysis of statistical dependence. GrC 2013: 303-308 - [c275]Shusaku Tsumoto, Shoji Hirano:
Incremental induction of medical diagnostic rules. GrC 2013: 309-314 - [c274]Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Data mining based clinical care plan construction. iCAST/UMEDIA 2013: 286-292 - [c273]Shoji Hirano, Shusaku Tsumoto:
Clustering of Order Sequences Based on the Typicalness Index for Finding Clinical Pathway Candidates. ICDM Workshops 2013: 206-210 - [c272]Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Clinical Schedule Management Using Similarity-Based Mining Methods. ICHI 2013: 396-405 - [c271]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Data-Oriented Maintenance of Schedule Management of Nursing Care. ICServ 2013: 169-177 - [c270]Eisuke Hanada
, Takato Kudou, Shusaku Tsumoto:
Ensuring the Security and Availability of a Hospital Wireless LAN System. MedInfo 2013: 166-170 - [c269]Takahiro Suzuki, Shunsuke Doi, Shinsuke Fujita, Yutaka Hatakeyama, Masayuki Honda, Yasushi Matsumura, Gen Shimada, Mitsuhiro Takasaki, Shusaku Tsumoto, Hideto Yokoi, Katsuhiko Takabayashi:
Construction of the Integrated Multicentre Discharge Summary Database. MedInfo 2013: 1064 - [c268]Shusaku Tsumoto, Hidenao Abe
:
Mining Clinical Process in Order Histories Using Sequential Pattern Mining Approach. PAKDD Workshops 2013: 234-246 - [c267]Shusaku Tsumoto, Shoji Hirano:
Evaluation of Incremental Change of Set-Based Indices. RSKT 2013: 188-199 - [c266]Shusaku Tsumoto, Shoji Hirano:
Incremental Induction of Probabilistic Rules Based on Incremental Sampling Scheme. SMC 2013: 812-817 - [c265]Shoji Hirano, Shusaku Tsumoto:
Mining Clinical Pathway Candidates from Order History Based on the Clustering of Order Sequences. SMC 2013: 3425-3429 - [c264]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Mining Clinical Pathway Using Clustering and Rule Induction. SMC 2013: 4860-4865 - [p14]Andrzej Skowron
, Mihir K. Chakraborty, Jerzy W. Grzymala-Busse, Victor W. Marek, Sankar K. Pal, James F. Peters, Grzegorz Rozenberg, Dominik Slezak, Roman Slowinski
, Shusaku Tsumoto, Alicja Wakulicz-Deja, Guoyin Wang
, Wojciech Ziarko:
Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence. Rough Sets and Intelligent Systems (1) 2013: 1-56 - [p13]Shusaku Tsumoto:
Rough Sets and Medical Differential Diagnosis. Rough Sets and Intelligent Systems (1) 2013: 605-621 - 2012
- [j39]Yingxu Wang
, James A. Anderson, George Baciu
, Gerhard Budin, D. Frank Hsu, Mitsuru Ishizuka, Witold Kinsner, Fumio Mizoguchi, Toyoaki Nishida, Kenji Sugawara, Shusaku Tsumoto, Du Zhang:
Perspectives on eBrain and Cognitive Computing. Int. J. Cogn. Informatics Nat. Intell. 6(4): 1-21 (2012) - [j38]Hidenao Abe
, Shusaku Tsumoto:
Detection of research trends from bibliographical data. Int. J. Data Min. Model. Manag. 4(3): 255-266 (2012) - [c263]Shusaku Tsumoto, Hidenao Abe
:
Comparing similarity of concepts identified by temporal patterns of terms in biomedical research documents. ICCI*CC 2012: 86-93 - [c262]Shusaku Tsumoto, Haruko Iwata, Shoji Hirano, Yuko Tsumoto:
Exploratory temporal data mining process in hospital information systems. ICCI*CC 2012: 145-152 - [c261]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Temporal data mining of order entry histories for characterization of medical practice. CBMS 2012: 1-4 - [c260]Shusaku Tsumoto, Haruko Iwata, Shoji Hirano:
Construction and maintenance of clinical pathways using data mining methods. MIX-HS 2012: 47-52 - [c259]Shusaku Tsumoto, Shoji Hirano:
Degree of freedom and numbers of subdeterminants in contingency table. GrC 2012: 481-486 - [c258]Shusaku Tsumoto, Shoji Hirano:
Geometrical interpretation of pearson residuals. GrC 2012: 487-492 - [c257]Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Visualization of doctors' behavior using similarity-based methods. GrC 2012: 767-770 - [c256]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Temporal Data Mining for Nursing Schedule Management. IBICA 2012: 229-234 - [c255]Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Data-Oriented Construction and Maintenance of Clinical Pathway Using Similarity-Based Data Mining Methods. ICDM Workshops 2012: 293-300 - [c254]Shusaku Tsumoto, Shoji Hirano:
Multidimensional temporal mining in clinical data. IHI 2012: 563-572 - [c253]Shusaku Tsumoto, Mihoko Otake
, Hiroshi Nakajima, Takayuki Fujita, Yan Chow:
Towards data: a human/machine-oriented approach of medical data collection. IHI 2012: 887-888 - [c252]Shusaku Tsumoto, Shoji Hirano:
Incremental Rules Induction Method Based on Three Rule Layers. ISMIS 2012: 71-80 - [c251]Shusaku Tsumoto, Shoji Hirano:
Incremental Rules Induction Based on Rule Layers. RSKT 2012: 139-148 - [c250]Shusaku Tsumoto, Hidenao Abe
:
Comparing Similarity of Concepts Identified by Temporal Patterns of Terms in Biomedical Research Documents. RSKT 2012: 232-241 - [c249]Shusaku Tsumoto, Shoji Hirano:
Trajectories mining in hospital information systems. SMC 2012: 389-394 - [c248]Shusaku Tsumoto, Shoji Hirano:
Information granules in medical differential diagnosis. SMC 2012: 395-401 - [c247]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata:
Data-oriented maintenance of clinical pathway using clustering and multidimensional scaling. SMC 2012: 2596-2600 - [c246]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, Yuko Tsumoto:
Characterizing Hospital Services Using Temporal Data Mining. SRII Global Conference 2012: 219-230 - [p12]Shusaku Tsumoto:
Data Mining: From Medical Decision Support to Hospital Management. Journeys to Data Mining 2012: 197-210 - [e15]Fabio Massimo Zanzotto
, Shusaku Tsumoto, Niels Taatgen
, Yiyu Yao:
Brain Informatics - International Conference, BI 2012, Macau, China, December 4-7, 2012. Proceedings. Lecture Notes in Computer Science 7670, Springer 2012, ISBN 978-3-642-35138-9 [contents] - 2011
- [j37]Shusaku Tsumoto, Shoji Hirano:
Residual as Linear Sum of Matrix Determinants in Multiway Contingency Tables. Int. J. Comput. Intell. Syst. 4(5): 1080-1089 (2011) - [j36]Shusaku Tsumoto, Tzung-Pei Hong
:
Special issue on data mining for decision making and risk management. J. Intell. Inf. Syst. 36(3): 249-251 (2011) - [j35]Shusaku Tsumoto, Shoji Hirano:
Detection of risk factors using trajectory mining. J. Intell. Inf. Syst. 36(3): 403-425 (2011) - [j34]Yuko Tsumoto, Shusaku Tsumoto:
Correlation and Regression Analysis for Characterizations of a University Hospital. Rev. Socionetwork Strateg. 5(2): 43-55 (2011) - [j33]Hidenao Abe
, Shusaku Tsumoto:
Evaluating a Temporal Pattern Detection Method for Finding Research Keys in Bibliographical Data. Trans. Rough Sets 14: 1-17 (2011) - [c245]Shusaku Tsumoto:
Rule induction methods with hierachical sampling. IEEE ICCI*CC 2011: 193-202 - [c244]Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, Yuko Tsumoto:
Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach. FGIT 2011: 1-16 - [c243]Hidenao Abe
, Shusaku Tsumoto:
Constructing features for document classification by using temporal patterns of term usages. GrC 2011: 30-36 - [c242]Shoji Hirano, Shusaku Tsumoto:
A clustering method for asymmetric proximity data based on bi-links with ε-indiscernibility. GrC 2011: 242-245 - [c241]Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Clustering-based analysis in hospital information systems. GrC 2011: 669-674 - [c240]Shusaku Tsumoto, Shoji Hirano:
Combinatorics of pearson residuals and degree of freedom in contingency tables. GrC 2011: 675-680 - [c239]Shusaku Tsumoto:
A new framework for incremental rule induction based on rough sets. GrC 2011: 681-686 - [c238]Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Visualization of Hospital Services Using Data Mining Methods. ICDM Workshops 2011: 1183-1190 - [c237]Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Information reuse in hospital information systems: A data mining approach. IRI 2011: 172-176 - [c236]Shusaku Tsumoto:
Incremental Rule Induction Based on Rough Set Theory. ISMIS 2011: 70-79 - [c235]Hidenao Abe
, Shusaku Tsumoto:
Mining Classification Rules for Detecting Medication Order Changes by Using Characteristic CPOE Subsequences. ISMIS 2011: 80-89 - [c234]Shusaku Tsumoto, Katsuhiko Takabayashi:
Data Mining in Meningoencephalitis: The Starting Point of Discovery Challenge. ISMIS 2011: 133-139 - [c233]Hidenao Abe
, Shusaku Tsumoto:
Comparing a Clustering Density Criteria of Temporal Patterns of Terms Obtained by Different Feature Sets. RSKT 2011: 248-257 - [c232]Shusaku Tsumoto, Shoji Hirano:
Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach. RSKT 2011: 382-387 - [c231]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe
, Yuko Tsumoto:
Temporal data mining in history data of hospital information systems. SMC 2011: 2350-2356 - 2010
- [j32]Shusaku Tsumoto, Shoji Hirano:
Risk Mining in Medicine: Application of Data Mining to Medical Risk Management. Fundam. Informaticae 98(1): 107-121 (2010) - [j31]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Improving a rule evaluation support method based on objective indices. Int. J. Adv. Intell. Paradigms 2(2/3): 180-197 (2010) - [j30]Tsau Young Lin, Rushin Barot, Shusaku Tsumoto:
Some Remarks on the Concept of Approximations from the View of Knowledge Engineering. Int. J. Cogn. Informatics Nat. Intell. 4(2): 1-11 (2010) - [j29]Shoji Hirano, Shusaku Tsumoto:
Multiscale Comparison and Clustering of Three-Dimensional Trajectories Based on Curvature Maxima. Int. J. Inf. Technol. Decis. Mak. 9(6): 889-904 (2010) - [j28]Yuko Tsumoto, Shusaku Tsumoto:
Exploratory Univariate Analysis on the Characterization of a University Hospital: A Preliminary Step to Data-Mining-Based Hospital Management Using an Exploratory Univariate Analysis of a University Hospital. Rev. Socionetwork Strateg. 4(2): 47-63 (2010) - [c230]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe
:
Sampling from databases for rule induction methods based on likelihood ratio test. IEEE ICCI 2010: 174-179 - [c229]Shusaku Tsumoto:
Incremental discovery of probabilistic rules from clinical databases based on rough set theory. IEEE ICCI 2010: 339-344 - [c228]Hidenao Abe
, Shusaku Tsumoto:
Comparing order entry subsequences related to CPOE correction factors. IEEE ICCI 2010: 806-810 - [c227]Hidenao Abe
, Shusaku Tsumoto:
Analysis of Research Keys as Tempral Patterns of Technical Term Usages in Bibliographical Data. AMT 2010: 150-157 - [c226]Shoji Hirano, Shusaku Tsumoto:
Hierarchical, Granular Representation of Non-metric Proximity Data. GrC 2010: 217-222 - [c225]Shusaku Tsumoto, Shoji Hirano:
Information Granules of Statistical Dependence in Multiway Contingency Tables. GrC 2010: 483-488 - [c224]Shusaku Tsumoto, Shoji Hirano:
Geometrical and Combinatorial Nature of Pearson Residuals. GrC 2010: 489-494 - [c223]Shusaku Tsumoto:
Qualitative Simulation Based on Ranked Hyperreals. GrC 2010: 767-771 - [c222]Shoji Hirano, Shusaku Tsumoto:
Curvature Maxima-based Trajectories Mining. ICDM Workshops 2010: 257-264 - [c221]Hidenao Abe
, Shusaku Tsumoto:
Text Categorization with Considering Temporal Patterns of Term Usages. ICDM Workshops 2010: 800-807 - [c220]Shusaku Tsumoto, Shoji Hirano:
Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing. ICDM Workshops 2010: 835-842 - [c219]Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management. ICDM Workshops 2010: 1076-1083 - [c218]Eisuke Hanada
, Shusaku Tsumoto, Shotai Kobayashi:
A "Ubiquitous Environment" through Wireless Voice/Data Communication and a Fully Computerized Hospital Information System in a University Hospital. E-HEALTH 2010: 160-168 - [c217]Hidenao Abe
, Shusaku Tsumoto:
Mining Temporal Patterns of Technical Term Usages in Bibliographical Data. Intelligent Information Processing 2010: 130-138 - [c216]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe
:
Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods. Intelligent Information Processing 2010: 139-144 - [c215]Hidenao Abe
, Shusaku Tsumoto:
Discovering Research Key Terms as Temporal Patterns of Importance Indices for Text Mining. KES (3) 2010: 297-306 - [c214]Shoji Hirano, Shusaku Tsumoto:
Representation of Granularity for Non-Euclidian Relational Data by Jaccard Coefficients and Binary Classifications. RSCTC 2010: 721-729 - [c213]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe
:
Likelihood-Based Sampling from Databases for Rule Induction Methods. RSKT 2010: 265-272 - [c212]Shusaku Tsumoto, Shoji Hirano:
Residual Analysis of Statistical Dependence in Multiway Contingency Tables. RSKT 2010: 273-280 - [c211]Shoji Hirano, Shusaku Tsumoto:
Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to Medicine. SBP 2010: 128-137 - [c210]Hidenao Abe
, Shusaku Tsumoto:
Trend detection from large text data. SMC 2010: 310-315 - [c209]Shusaku Tsumoto, Shoji Hirano:
Three dimensional trajectories mining. SMC 2010: 500-505 - [e14]James F. Peters, Andrzej Skowron, Roman Slowinski, Pawan Lingras, Duoqian Miao, Shusaku Tsumoto:
Transactions on Rough Sets XII. Lecture Notes in Computer Science 6190, Springer 2010, ISBN 978-3-642-14466-0 [contents]
2000 – 2009
- 2009
- [j27]Shusaku Tsumoto, Shoji Hirano:
Statistical Independence and Determinants in a Contingency Table - Interpretation of Pearson Residuals based on Linear Algebra -. Fundam. Informaticae 90(3): 251-267 (2009) - [j26]Yingxu Wang, Du Zhang, Shusaku Tsumoto:
Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I). Fundam. Informaticae 90(3) (2009) - [j25]Hidenao Abe
, Shusaku Tsumoto:
Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions. Fundam. Informaticae 90(4): 369-378 (2009) - [j24]Shusaku Tsumoto, Shoji Hirano:
Contingency Matrix Theory II: Degree of Dependence as Granularity. Fundam. Informaticae 90(4): 427-442 (2009) - [j23]Yingxu Wang
, Du Zhang, Shusaku Tsumoto:
Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II). Fundam. Informaticae 90(4) (2009) - [j22]Shusaku Tsumoto:
Contingency matrix theory: Statistical dependence in a contingency table. Inf. Sci. 179(11): 1615-1627 (2009) - [c208]Hidenao Abe
, Shusaku Tsumoto:
Evaluating a method to detect temporal trends of phrases in research documents. IEEE ICCI 2009: 378-383 - [c207]Hidenao Abe
, Shusaku Tsumoto:
A method to characterize dataset based on objective rule evaluation indices. Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009: 73440D - [c206]Shusaku Tsumoto, Shoji Hirano:
Temporal data mining for hospital management. Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009: 73440A - [c205]Hidenao Abe
, Shusaku Tsumoto:
Detection of trends of technical phrases in text mining. GrC 2009: 7-12 - [c204]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe
:
Multivariate statistical independence and contingency tables. GrC 2009: 544-548 - [c203]Hidenao Abe
, Shusaku Tsumoto:
Detecting Similarity of Transferring Datasets Based on Features of Classification Rules. ICDM Workshops 2009: 412-415 - [c202]Hidenao Abe
, Shusaku Tsumoto:
Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression. ISMIS 2009: 251-260 - [c201]Shusaku Tsumoto, Hidenao Abe
:
Evaluation of a Classification Rule Mining Algorithm Based on Secondary Differences. KES (2) 2009: 24-31 - [c200]Hidenao Abe
, Shusaku Tsumoto:
Detecting Temporal Patterns of Importance Indices about Technical Phrases. KES (2) 2009: 252-258 - [c199]Shoji Hirano, Shusaku Tsumoto:
Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step. RSFDGrC 2009: 361-368 - [c198]Hidenao Abe
, Shusaku Tsumoto:
Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method. RSFDGrC 2009: 502-509 - [c197]Hidenao Abe
, Shusaku Tsumoto:
A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single Indices. RSKT 2009: 160-167 - [c196]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe
:
Pearson Residuals in Multi-way Contingency Tables. SMC 2009: 2531-2536 - [c195]Shusaku Tsumoto:
Distribution of Derminants of Contingency Tables. SMC 2009: 2537-2542 - [c194]Hidenao Abe
, Shusaku Tsumoto:
Detecting Temporal Patterns of Technical Phrases by using Importance Indices in a Research Documents. SMC 2009: 2959-2964 - [p11]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms Composed by a Constructive Meta-learning Scheme for a Rule Evaluation Support Method. Mining Complex Data 2009: 95-111 - [e13]Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi:
New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers. Lecture Notes in Computer Science 5433, Springer 2009, ISBN 978-3-642-00398-1 [contents] - [e12]Peng Wen, Yuefeng Li, Lech Polkowski, Yiyu Yao, Shusaku Tsumoto, Guoyin Wang:
Rough Sets and Knowledge Technology, 4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009. Proceedings. Lecture Notes in Computer Science 5589, Springer 2009, ISBN 978-3-642-02961-5 [contents] - [e11]Djamel A. Zighed, Shusaku Tsumoto, Zbigniew W. Ras, Hakim Hacid:
Mining Complex Data. Studies in Computational Intelligence 165, Springer 2009, ISBN 978-3-540-88066-0 [contents] - [r2]Shusaku Tsumoto, Shoji Hirano:
Dependency and Granularity inData. Encyclopedia of Complexity and Systems Science 2009: 1864-1872 - [r1]Shusaku Tsumoto:
Rough Set Data Analysis. Encyclopedia of Complexity and Systems Science 2009: 7742-7753 - 2008
- [j21]Shusaku Tsumoto, Shoji Hirano:
Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency Table. Trans. Comput. Sci. 2: 161-179 (2008) - [c193]Tsau Young Lin, Shusaku Tsumoto:
Qualitative fuzzy sets and granularity. IEEE ICCI 2008: 435-440 - [c192]Shusaku Tsumoto, Shoji Hirano:
Fuzziness from attribute generalization in information table. IEEE ICCI 2008: 455-461 - [c191]Shusaku Tsumoto, Shoji Hirano:
Statistical independence in three-variables contingency cube. IEEE ICCI 2008: 468-474 - [c190]Shusaku Tsumoto, Shoji Hirano:
Mining Trajectories of Laboratory Data using Multiscale Matching and Clustering. CBMS 2008: 626-631 - [c189]Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Application of data mining to medical risk management. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008: 697308 - [c188]Shusaku Tsumoto, Shoji Hirano:
Partial statistical independence in contingency matrix. FUZZ-IEEE 2008: 2412-2419 - [c187]Shoji Hirano, Shusaku Tsumoto:
Trajectory mining using multiscale matching and clustering. FUZZ-IEEE 2008: 2420-2427 - [c186]Shusaku Tsumoto, Shoji Hirano:
Decomposition of Pearson Residuals of Three-variables Contingency Cube. GrC 2008: 61-66 - [c185]Hidenao Abe
, Shusaku Tsumoto:
Investigating Accuracies of Rule Evaluation Models on Randomized Labeling and Human Evaluation. GrC 2008: 95-100 - [c184]Shoji Hirano, Shusaku Tsumoto:
Hierarchical Clustering of Asymmetric Proximity Data based on the Indiscernibility-level. GrC 2008: 275-280 - [c183]Hidenao Abe
, Shusaku Tsumoto:
Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets. ICDM Workshops 2008: 1-7 - [c182]Shusaku Tsumoto, Shoji Hirano:
Statistical Independence and Contingency Matrix. ICDM Workshops 2008: 643-648 - [c181]Shusaku Tsumoto, Shoji Hirano:
Hospital Management Based on Data Mining. ISDA (3) 2008: 257-262 - [c180]Hidenao Abe
, Shusaku Tsumoto:
Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient. ISMIS 2008: 84-89 - [c179]Hidenao Abe
, Shusaku Tsumoto:
Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient. KES (2) 2008: 758-765 - [c178]Shoji Hirano, Shusaku Tsumoto:
Detection of Risk Factors as Temporal Data Mining. PAKDD Workshops 2008: 143-156 - [c177]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Finding Functional Groups of Objective Rule Evaluation Indices Using PCA. PAKM 2008: 197-206 - [c176]Shusaku Tsumoto, Shoji Hirano:
Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra. RSCTC 2008: 103-112 - [c175]Hidenao Abe
, Shusaku Tsumoto:
Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria. RSCTC 2008: 293-298 - [c174]Shoji Hirano, Shusaku Tsumoto:
Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-Level. RSKT 2008: 332-339 - [c173]Hidenao Abe
, Shusaku Tsumoto:
Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules. RSKT 2008: 467-474 - [c172]Shusaku Tsumoto, Shoji Hirano:
Statistical dependence in contingency data cube. SMC 2008: 2759-2764 - [p10]Shusaku Tsumoto, Shoji Hirano:
Risk Mining as New Trends in Hospital Management. Next Generation of Data Mining 2008 - [p9]Shoji Hirano, Shusaku Tsumoto:
Discovery of Clusters from Proximity Data: An Approach Using Iterative Adjustment of Binary Classifications. Communications and Discoveries from Multidisciplinary Data 2008: 251-268 - [p8]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices. Communications and Discoveries from Multidisciplinary Data 2008: 269-282 - [p7]Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining for Infection Control. Communications and Discoveries from Multidisciplinary Data 2008: 283-297 - [p6]Shusaku Tsumoto:
On Pseudo-Statistical Independence in a Contingency Table. Data Mining: Foundations and Practice 2008: 387-403 - [p5]Shusaku Tsumoto:
Role of Sample Size and Determinants in Granularity of Contingency Matrix. Data Mining: Foundations and Practice 2008: 405-421 - [e10]Zbigniew W. Ras, Shusaku Tsumoto, Djamel A. Zighed:
Mining Complex Data, ECML/PKDD 2007 Third International Workshop, MCD 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4944, 2008, ISBN 978-3-540-68415-2 [contents] - [e9]Shuichi Iwata, Yukio Ohsawa, Shusaku Tsumoto, Ning Zhong, Yong Shi, Lorenzo Magnani:
Communications and Discoveries from Multidisciplinary Data. Studies in Computational Intelligence 123, Springer 2008, ISBN 978-3-540-78732-7 [contents] - 2007
- [j20]Miho Ohsaki, Hidenao Abe
, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi:
Evaluation of rule interestingness measures in medical knowledge discovery in databases. Artif. Intell. Medicine 41(3): 177-196 (2007) - [j19]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices. Data Sci. J. 6: 285-296 (2007) - [j18]Shusaku Tsumoto, Shoji Hirano:
Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling. Fundam. Informaticae 78(4): 561-573 (2007) - [j17]Shusaku Tsumoto, Shoji Hirano:
Detection of interesting rules using visualization of differences between rules' syntactic and semantic similarities using multidimensional scaling. Int. J. Knowl. Based Intell. Eng. Syst. 11(5): 345-354 (2007) - [c171]Shusaku Tsumoto, Shoji Hirano:
Charcteristics of Pearson Residuals in a Contingency Matrix. IEEE ICCI 2007: 195-204 - [c170]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices. IEEE ICCI 2007: 212-221 - [c169]Shoji Hirano, Shusaku Tsumoto:
Cluster Analysis of Trajectory Data on Hospital Laboratory Examinations. AMIA 2007 - [c168]Kimiko Matsuoka, Shigeki Yokoyama, Kunitomo Watanabe, Shusaku Tsumoto:
Mining Rules for Risk Factors on Blood Stream Infection in Hospital Information System. BIBM 2007: 181-187 - [c167]Shoji Hirano, Shusaku Tsumoto:
Cluster analysis of temporal trajectories of hospital laboratory examinations. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007: 65700E - [c166]Shoji Hirano, Shusaku Tsumoto:
Discovery of exacerbating cases in chronic hepatitis based on cluster analysis of time-series platelet count data. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007: 65700F - [c165]Shoji Hirano, Shusaku Tsumoto:
Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining. MCD 2007: 27-41 - [c164]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi:
Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases. GrC 2007: 458-464 - [c163]Shusaku Tsumoto, Shoji Hirano:
Meaning of Pearson Residuals - Linear Algebra View. GrC 2007: 465-470 - [c162]Shusaku Tsumoto:
Mining Diagnostic Taxonomy and Diagnostic Rules for Multi-Stage Medical Diagnosis from Hospital Clinical Data. GrC 2007: 611-616 - [c161]Shoji Hirano, Shusaku Tsumoto:
Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations. ICDM Workshops 2007: 151-156 - [c160]Kimiko Matsuoka, Shigeki Yokoyama, Kumitomo Watanabe, Shusaku Tsumoto:
Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining. ICDM Workshops 2007: 175-180 - [c159]Takashi Washio, Shusaku Tsumoto:
International Workshop on Risk Informatics (RI2007). JSAI 2007: 245-246 - [c158]Kimiko Matsuoka, Shigeki Yokoyama, Kunitomo Watanabe, Shusaku Tsumoto:
Data Mining Analysis of Relationship Between Blood Stream Infection and Clinical Background in Patients Undergoing Lactobacillus Therapy. JSAI 2007: 277-288 - [c157]Shoji Hirano, Shusaku Tsumoto:
Discovery of Risky Cases in Chronic Diseases: An Approach Using Trajectory Grouping. JSAI 2007: 289-302 - [c156]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices. KES (2) 2007: 934-941 - [c155]Shusaku Tsumoto, Shoji Hirano:
Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling. KES (2) 2007: 978-986 - [c154]Hidenao Abe, Hideto Yokoi, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Models with Transitions of Human Interests Based on Objective Rule Evaluation Indices. MedInfo 2007: 581-585 - [c153]Shusaku Tsumoto:
Medical Reasoning and Rough Sets. RSEISP 2007: 90-100 - [c152]Shusaku Tsumoto:
Attribute Generalization and Fuzziness in Data Mining Contexts. RSFDGrC 2007: 379-386 - [c151]Shoji Hirano, Shusaku Tsumoto:
Dealing with granularity on non-euclidean relational data based on indiscernibility level. SMC 2007: 3772-3777 - [c150]Shusaku Tsumoto, Shoji Hirano:
Contingency matrix theory. SMC 2007: 3778-3783 - [c149]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating learning algorithms for a rule evaluation support method. SMC 2007: 3784-3789 - 2006
- [c148]Shusaku Tsumoto:
Data Structure and Algorithm in Data Mining: Granular Computing View. COMPSAC (1) 2006: 26-27 - [c147]Shusaku Tsumoto:
Visualization of similarities and dissimilarities in rules using MDS. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006: 62410X - [c146]Shusaku Tsumoto, Yuko Tsumoto:
Mining hospital management data. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006: 62410W - [c145]Shusaku Tsumoto, Shoji Hirano:
Decomposition of Contingency Table as Tensor Product. FUZZ-IEEE 2006: 369-376 - [c144]Shusaku Tsumoto, Shoji Hirano:
Analysis of sample size effect on dependency of contingency matrix. GrC 2006: 712-715 - [c143]Shusaku Tsumoto, Shoji Hirano:
Characterization of contextual independence of contingency matrix. GrC 2006: 716-719 - [c142]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method. ICDM Workshops 2006: 305-310 - [c141]Shusaku Tsumoto, Shoji Hirano:
Residual Matrix and Statistical Independence in a Contingency Table. ICDM Workshops 2006: 433-437 - [c140]Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining in Hospital Information Systems. ICDM Workshops 2006: 699-704 - [c139]Miho Ohsaki, Hidenao Abe
, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi:
Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures. ICDM Workshops 2006: 759-764 - [c138]Shoji Hirano, Shusaku Tsumoto:
Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques. ICDM 2006: 896-901 - [c137]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. ISMIS 2006: 379-388 - [c136]Shoji Hirano, Shusaku Tsumoto:
Characteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations. ISMIS 2006: 454-462 - [c135]Shusaku Tsumoto, Takashi Washio:
Risk Mining - Overview. JSAI 2006: 303-304 - [c134]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts. MDAI 2006: 93-104 - [c133]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. PAKDD 2006: 509-519 - [c132]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi:
Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices. PKAW 2006: 75-88 - [c131]Shusaku Tsumoto:
Pawlak Rough Set Model, Medical Reasoning and Rule Mining. RSCTC 2006: 53-70 - [c130]Shusaku Tsumoto, Shoji Hirano:
Distribution of Determinants of Contingency Matrix. RSCTC 2006: 567-576 - [c129]Shusaku Tsumoto, Shoji Hirano:
Interpretation of Contingency Matrix Using Marginal Distributions. RSCTC 2006: 577-586 - [c128]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices. RSCTC 2006: 687-695 - [c127]Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining: Mining Nurses' Incident Factors and Application of Mining Results to Prevention of Incidents. RSCTC 2006: 706-715 - [c126]Shoji Hirano, Shusaku Tsumoto:
A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering. RSCTC 2006: 872-881 - [c125]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Developing a Rule Evaluation Support Method Based on Objective Indices. RSKT 2006: 456-461 - [c124]Shoji Hirano, Shusaku Tsumoto:
On the Nature of Degree of Indiscerniblity for Rough Clustering. SMC 2006: 3447-3452 - [c123]Shusaku Tsumoto, Shoji Hirano:
Meaning of Marginal Distributions in a Contingency Table. SMC 2006: 4753-4758 - [c122]Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining in Hospital Information Systems. SMC 2006: 4802-4806 - [c121]Shusaku Tsumoto, Yuko Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining in Medicine: Application of Data Mining to Medical Risk Management. WImBI 2006: 471-493 - [p4]Shusaku Tsumoto:
Statistical Independence as Linear Dependence in a Contingency Table. Foundations and Novel Approaches in Data Mining 2006: 61-73 - [p3]Yuko Tsumoto, Shusaku Tsumoto:
Mining Hospital Management Data using R. Chance Discoveries in Real World Decision Making 2006: 393-404 - [e8]Achim G. Hoffmann, Byeong Ho Kang, Debbie Richards
, Shusaku Tsumoto:
Advances in Knowledge Acquisition and Management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4303, Springer 2006, ISBN 3-540-68955-9 [contents] - [e7]Yukio Ohsawa, Shusaku Tsumoto:
Chance Discoveries in Real World Decision Making: Data-based Interaction of Human Intelligence and Artificial Intelligence. Studies in Computational Intelligence 30, Springer 2006, ISBN 978-3-540-34352-3 [contents] - 2005
- [j16]Shoji Hirano, Shusaku Tsumoto:
Rough representation of a region of interest in medical images. Int. J. Approx. Reason. 40(1-2): 23-34 (2005) - [j15]Shusaku Tsumoto, Shoji Hirano:
Automated discovery of chronological patterns in long time-series medical datasets. Int. J. Intell. Syst. 20(7): 737-757 (2005) - [c120]Shoji Hirano, Shusaku Tsumoto:
Classification of temporal sequences using multiscale matching and rough clustering. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 202-213 - [c119]Shusaku Tsumoto, Shoji Hirano:
On statistical independence of a contingency matrix. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 291-302 - [c118]Shusaku Tsumoto:
Granularity and statistical independence in a contingency table. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 330-341 - [c117]Shusaku Tsumoto, Shoji Hirano:
Degree of Dependence as Granularity in a Contingency Table. GrC 2005: 63-69 - [c116]Shoji Hirano, Shusaku Tsumoto:
An indiscernibility-based clustering method. GrC 2005: 468-473 - [c115]Shusaku Tsumoto, Shoji Hirano:
Linear independence in a contingency table. GrC 2005: 646-651 - [c114]Hidenao Abe
, Miho Ohsaki, Shusaku Tsumoto, Takahira Yamaguchi:
Evaluating a Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indices - A Case Study with a Meningitis Data Mining Result. HIS 2005: 169-174 - [c113]Shoji Hirano, Shusaku Tsumoto:
Grouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering. HIS 2005: 399-404 - [c112]Hidenao Abe
, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes. ICDM 2005: 549-552 - [c111]Shusaku Tsumoto, Shoji Hirano:
Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling. ISMIS 2005: 38-46 - [c110]Shusaku Tsumoto:
Statistical Independence from the Viewpoint of Linear Algebra. ISMIS 2005: 56-64 - [c109]Shoji Hirano, Shusaku Tsumoto:
Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching. ISMIS 2005: 612-621 - [c108]Shoji Hirano, Shusaku Tsumoto:
On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering. JSAI Workshops 2005: 5-16 - [c107]Shusaku Tsumoto, Shoji Hirano:
On Degree of Dependence Based on Contingency Matrix. RSFDGrC (1) 2005: 471-480 - [c106]Shoji Hirano, Shusaku Tsumoto:
A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records. RSFDGrC (1) 2005: 612-621 - [c105]Shoji Hirano, Shusaku Tsumoto:
A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster. SAINT Workshops 2005: 344-347 - [c104]Shoji Hirano, Shusaku Tsumoto:
Strucutural Comparison and Cluster Analysis of Time-Series Medical Data. SMC 2005: 1506-1511 - [c103]Shusaku Tsumoto:
Visualization of differences between rules' syntactic and semantic similarities. SMC 2005: 3588-3592 - [c102]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe
, Hideaki Nakakuni, Eisuke Hanada
:
Clinical Decision Support Based on Mobile Telecommunication Systems. Web Intelligence 2005: 700-703 - [p2]Shusaku Tsumoto:
On Statistical Independence in a Contingency Table. Foundations of Data Mining and knowledge Discovery 2005: 131-141 - [e6]Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda:
Active Mining, Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers. Lecture Notes in Computer Science 3430, Springer 2005, ISBN 3-540-26157-5 [contents] - [e5]Mohand-Said Hacid, Neil V. Murray, Zbigniew W. Ras, Shusaku Tsumoto:
Foundations of Intelligent Systems, 15th International Symposium, ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings. Lecture Notes in Computer Science 3488, Springer 2005, ISBN 3-540-25878-7 [contents] - [e4]Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu, Shusaku Tsumoto:
Foundations of Data Mining and knowledge Discovery. Studies in Computational Intelligence 6, Springer 2005, ISBN 978-3-540-26257-2 [contents] - 2004
- [j14]Shusaku Tsumoto:
Extraction of Structure of Medical Diagnosis from Clinical Data. Fundam. Informaticae 59(2-3): 271-285 (2004) - [j13]Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto:
Comparison of clustering methods for clinical databases. Inf. Sci. 159(2): 155-165 (2004) - [j12]Shusaku Tsumoto:
Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model. Inf. Sci. 162(2): 65-80 (2004) - [c101]Shoji Hirano, Shusaku Tsumoto:
Cluster analysis of long time-series medical datasets. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 13-20 - [c100]Shusaku Tsumoto:
Rank and independence in contingency table. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 178-189 - [c99]Masayuki Numao, Takahira Yamaguchi, Shusaku Tsumoto, Hiroshi Motoda:
Workshop on Active Mining (AM-2004). JSAI Workshops 2004: 463 - [c98]Shusaku Tsumoto:
Mining Diagnostic Taxonomy Using Interval-Based Similarity from Clinical Databases. MDAI 2004: 115-126 - [c97]Shusaku Tsumoto, Shoji Hirano:
A Comparative Study of Clustering Methods for Long Time-Series Medical Databases. MDAI 2004: 260-272 - [c96]Shoji Hirano, Shusaku Tsumoto:
Finding Interesting Pass Patterns from Soccer Game Records. PKDD 2004: 209-218 - [c95]Shoji Hirano, Shusaku Tsumoto:
On the Degree of Independence of a Contingency Matrix. Rough Sets and Current Trends in Computing 2004: 219-228 - [c94]Shoji Hirano, Shusaku Tsumoto:
Detection of Differences between Syntactic and Semantic Similarities. Rough Sets and Current Trends in Computing 2004: 529-538 - [p1]Shusaku Tsumoto:
Computational Analysis of Acquired Dyslexia of Kanji Characters based on Conventional and Rough Neural Networks. Rough-Neural Computing: Techniques for Computing with Words 2004: 637-648 - [e3]Shusaku Tsumoto, Roman Slowinski, Henryk Jan Komorowski, Jerzy W. Grzymala-Busse:
Rough Sets and Current Trends in Computing, 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings. Lecture Notes in Computer Science 3066, Springer 2004, ISBN 3-540-22117-4 [contents] - 2003
- [j11]Shusaku Tsumoto:
Automated extraction of hierarchical decision rules from clinical databases using rough set model. Expert Syst. Appl. 24(2): 189-197 (2003) - [j10]Shoji Hirano, Shusaku Tsumoto:
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-. J. Adv. Comput. Intell. Intell. Informatics 7(2): 169-177 (2003) - [j9]Shusaku Tsumoto:
Chance Discovery in Medicine - Detection of Rare Risky Events in Chronic Diseases. New Gener. Comput. 21(2): 135-147 (2003) - [c93]Shoji Hirano, Shusaku Tsumoto:
Multiscale Analysis of Long Time-series Medical Databases. AMIA 2003 - [c92]Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda:
Active Mining Project: Overview. Active Mining 2003: 1-10 - [c91]Shoji Hirano, Shusaku Tsumoto:
Empirical Comparison of Clustering Methods for Long Time-Series Databases. Active Mining 2003: 268-286 - [c90]Shusaku Tsumoto, Shoji Hirano, Eisuke Hanada:
Internet-based Decision Support: Towards E-Hospital. COMPSAC 2003: 595-600 - [c89]Shusaku Tsumoto:
Automated rule induction with grouping target concepts. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 37-48 - [c88]Shusaku Tsumoto:
Towards visualization of rules based on rough sets and graphical modeling. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 71-81 - [c87]Shoji Hirano, Shusaku Tsumoto:
Comparison of similarity measures and clustering methods for time-series medical data mining. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 219-225 - [c86]Shusaku Tsumoto, Shoji Hirano:
Visualization of Rule's Similarity using Multidimensional Scaling. ICDM 2003: 339-346 - [c85]Shusaku Tsumoto, Shoji Hirano:
Pattern Discovery based on Rule Induction and Taxonomy Generation. ICDM 2003: 661-664 - [c84]Shusaku Tsumoto:
Mining Multi-level Diagnostic Process Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model. IFSA 2003: 362-369 - [c83]Shoji Hirano, Shusaku Tsumoto:
Indiscernibility-Based Clustering: Rough Clustering. IFSA 2003: 378-386 - [c82]Shusaku Tsumoto:
Mining Diagnostic Rules with Taxonomy from Medical Databases. ISMIS 2003: 40-48 - [c81]Shoji Hirano, Shusaku Tsumoto:
Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching. ISMIS 2003: 454-462 - [c80]Shoji Hirano, Shusaku Tsumoto:
Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach. PAKDD 2003: 513-518 - [c79]Shoji Hirano, Shusaku Tsumoto:
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations. PKDD 2003: 192-203 - [c78]Shusaku Tsumoto:
Mining Rules of Multi-level Diagnostic Procedure from Databases. PKDD 2003: 459-470 - [c77]Shusaku Tsumoto:
Extracting Structure of Medical Diagnosis: Rough Set Approach. RSFDGrC 2003: 78-88 - [c76]Shusaku Tsumoto:
Characteristics of Accuracy and Coverage in Rule Induction. RSFDGrC 2003: 237-244 - [c75]Shusaku Tsumoto:
Linear Independence in Contingency Table. RSFDGrC 2003: 316-319 - [c74]Shusaku Tsumoto:
Web based medical decision support system: application of internet to telemedicine. SAINT Workshops 2003: 288-293 - [c73]Shusaku Tsumoto:
Extracting diagnostic taxonomy using rough sets. SMC 2003: 2696-2701 - [c72]Shusaku Tsumoto:
Web Based Medical Decision Support System for Neurological Diseases. Web Intelligence 2003: 629-632 - [c71]Shusaku Tsumoto:
Statistical Independence as Linear Independence. RSKD 2003: 274-285 - [c70]Shusaku Tsumoto:
Rule Induction with Grouping Target Concepts based on Rough Sets. RSKD 2003: 286-297 - [e2]Ning Zhong, Zbigniew W. Ras, Shusaku Tsumoto, Einoshin Suzuki:
Foundations of Intelligent Systems, 14th International Symposium, ISMIS 2003, Maebashi City, Japan, October 28-31, 2003, Proceedings. Lecture Notes in Computer Science 2871, Springer 2003, ISBN 3-540-20256-0 [contents] - 2002
- [j8]Shusaku Tsumoto, Shoji Hirano, Akira Yasuda, Kouhei Tsumoto:
Analysis of amino-acid sequences by statistical technique. Inf. Sci. 145(3-4): 205-214 (2002) - [c69]Shoji Hirano, Shusaku Tsumoto:
Mining Interesting Patterns in Time-series Medical Databases: A Hybrid Approach of Multiscale Matching and Rough Clustering. AMIA 2002 - [c68]Shusaku Tsumoto, Tsau Young Lin, James F. Peters:
Foundations of Data Mining via Granular and Rough Computing. COMPSAC 2002: 1123-1124 - [c67]Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto:
On Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases. COMPSAC 2002: 1170-1175 - [c66]Shusaku Tsumoto:
Rule and Matroid Theory. COMPSAC 2002: 1176-1181 - [c65]Shusaku Tsumoto:
Comparison of induced rules based on likelihood estimation. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 192-202 - [c64]Xiaoguang Sun, Shoji Hirano, Shusaku Tsumoto:
Evaluation of similarity measures for analysis of databases on laboratory examinations. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 324-333 - [c63]Shusaku Tsumoto:
Statistical test for rough set approximation. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 410-421 - [c62]Shusaku Tsumoto:
Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets. Progress in Discovery Science 2002: 543-552 - [c61]Shusaku Tsumoto:
Statistical evidence for rough set analysis. FUZZ-IEEE 2002: 757-762 - [c60]Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto:
Dealing with multiple types of expert knowledge in medical image segmentation: a rough sets style approach. FUZZ-IEEE 2002: 884-889 - [c59]Shoji Hirano, Shusaku Tsumoto:
Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine. ICDM 2002: 219-226 - [c58]Shusaku Tsumoto:
Automated Discovery of Decision Rule Chains Using Rough Sets and Medical Diagnostic Model. ISMIS 2002: 321-332 - [c57]Shusaku Tsumoto, Shoji Hirano, Akira Yasuda, Kouhei Tsumoto:
Analysis of Amino Acid Sequences by Statistical Technique. JCIS 2002: 1169-1173 - [c56]Shoji Hirano, Shusaku Tsumoto:
Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases. PKDD 2002: 188-199 - [c55]Shusaku Tsumoto:
Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets aaand Medical Diagnostic Model. PKDD 2002: 423-434 - [c54]Shusaku Tsumoto:
Accuracy and Coverage in Rough Set Rule Induction. Rough Sets and Current Trends in Computing 2002: 373-380 - [c53]Shusaku Tsumoto:
Statistical Test for Rough Set Approximation Based on Fisher's Exact Test. Rough Sets and Current Trends in Computing 2002: 381-388 - [c52]Shoji Hirano, Shusaku Tsumoto:
Segmentation of Medical Images Based on Approximations in Rough Set Theory. Rough Sets and Current Trends in Computing 2002: 554-563 - 2001
- [c51]Shoji Hirano, Shusaku Tsumoto:
A Knowledge-Oriented Clustering Technique Based on Rough Sets. COMPSAC 2001: 632-637 - [c50]Shusaku Tsumoto:
Statistical extension of rough set rule induction. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2001: 180-188 - [c49]Shusaku Tsumoto:
Medical knowledge discovery in hospital information systems. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2001: 229-237 - [c48]Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto:
Analysis of Time-series Medical Databases Using Multiscale Structure Matching and Rough Sets-based. FUZZ-IEEE 2001: 1547-1550 - [c47]Shusaku Tsumoto:
Medical Diagnostic Rules As Upper Approximation of Rough Sets. FUZZ-IEEE 2001: 1551-1554 - [c46]Shoji Hirano, Shusaku Tsumoto:
Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure. ICDM 2001: 211-217 - [c45]Shusaku Tsumoto, Shoji Hirano, Masahiro Inuiguchi:
Workshop on Rough Set Theory and Granular Computing - Summary. JSAI Workshops 2001: 239 - [c44]Shoji Hirano, Shusaku Tsumoto, Tomohiro Okuzaki, Yutaka Hata:
A Clustering Method for Nominal and Numerical Data Based on Rough Set Theory. JSAI Workshops 2001: 400-405 - [c43]Shoji Hirano, Shusaku Tsumoto, Tomohiro Okuzaki, Yutaka Hata:
A Clustering Method Based on Rough Sets and Its Application to Knowledge Discovery in the Medical Database. MedInfo 2001: 206-210 - [c42]Masami Nagira, Shusaku Tsumoto:
An Approach to Electronization of Hand-written Patient Records - Scanned Hand-Written Chart. MedInfo 2001: 788 - [c41]Shoji Hirano, Tomohiro Okuzaki, Yutaka Hata, Shusaku Tsumoto, Kouhei Tsumoto:
A Rough Set-Based Clustering Method with Modification of Equivalence Relations. PAKDD 2001: 507-512 - [c40]Shusaku Tsumoto:
Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction. PKDD 2001: 448-459 - [c39]Shusaku Tsumoto:
Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model. PKDD 2001: 460-471 - [e1]Takao Terano, Toyoaki Nishida, Akira Namatame, Shusaku Tsumoto, Yukio Ohsawa, Takashi Washio:
New Frontiers in Artificial Intelligence, Joint JSAI 2001 Workshop Post-Proceedings. Lecture Notes in Computer Science 2253, Springer 2001, ISBN 3-540-43070-9 [contents] - 2000
- [j7]Shusaku Tsumoto:
Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic. Inf. Sci. 124(1-4): 125-137 (2000) - [c38]Shusaku Tsumoto:
Problems with Mining Medical Data. COMPSAC 2000: 467-468 - [c37]Shusaku Tsumoto:
Discovery of approximate concepts in clinical databases based on a rough set model. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 74-81 - [c36]Shusaku Tsumoto:
Fuzzification of attribute-oriented generalization and its application to medicine. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 100-107 - [c35]Shusaku Tsumoto:
Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies. ISMIS 2000: 573-581 - [c34]Einoshin Suzuki, Shusaku Tsumoto:
Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. PAKDD 2000: 208-211 - [c33]Andrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto:
Information Granules for Spatial Reasoning. PAKDD 2000: 380-383 - [c32]Shusaku Tsumoto:
Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies. PKDD 2000: 652-656 - [c31]Shusaku Tsumoto:
An Approach to Statistical Extention of Rough Set Rule Induction. Rough Sets and Current Trends in Computing 2000: 362-369 - [c30]Shusaku Tsumoto:
Diagnostic Reasoning from the Viewpoint of Rough Sets. Rough Sets and Current Trends in Computing 2000: 495-502
1990 – 1999
- 1999
- [c29]Shusaku Tsumoto:
Knowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics. ISMIS 1999: 349-357 - [c28]Shusaku Tsumoto:
Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion. PAKDD 1999: 210-219 - [c27]Shusaku Tsumoto:
Rule Discovery in Databases with Missing Values Based on Rough Set Model. PAKDD 1999: 274-278 - [c26]Shusaku Tsumoto:
Rule Discovery in Large Time-Series Medical Databases. PKDD 1999: 23-31 - [c25]Shusaku Tsumoto:
Knowledge Discovery in Medical Multi-databases: A Rough Set Approach. PKDD 1999: 147-155 - [c24]Shinsuke Sugaya, Einoshin Suzuki, Shusaku Tsumoto:
Support Vector Machines for Knowledge Discovery. PKDD 1999: 561-567 - [c23]Shusaku Tsumoto:
Discovery of Rules about Compilations - A Rough Set Approach in Medical Knowledge Discovery. RSFDGrC 1999: 29-37 - [c22]Shusaku Tsumoto, Tsau Young Lin:
Context-Free Fuzzy Sets in Data Mining Context. RSFDGrC 1999: 212-220 - 1998
- [j6]Shusaku Tsumoto:
Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model. Intell. Data Anal. 2(1-4): 215-227 (1998) - [j5]Shusaku Tsumoto:
Automated Extraction of Medical Expert System Rules from Clinical Databases on Rough Set Theory. Inf. Sci. 112(1-4): 67-84 (1998) - [c21]Shusaku Tsumoto:
Automated knowledge acquisition from clinical databases based on rough sets and attribute-oriented generalization. AMIA 1998 - [c20]Shusaku Tsumoto, Hiroshi Tanaka:
Automated Acquisition of Rules from Clinical Databases and its Evaluation. MedInfo 1998: 649-653 - [c19]Shusaku Tsumoto:
Discovery of Approximate Medical Knowledge Based on Rough Set Model. PKDD 1998: 468-476 - [c18]Shusaku Tsumoto:
Modelling Medical Diagnostic Rules Based on Rough Sets. Rough Sets and Current Trends in Computing 1998: 475-482 - 1997
- [c17]Shusaku Tsumoto, Hiroshi Tanaka:
Incremental learning of probabilistic rules from clinical databases based on rough set theory. AMIA 1997 - [c16]Shusaku Tsumoto:
Induction of Positive and Negative Deterministic Rules based on Rough Set Model. ISMIS 1997: 298-307 - [c15]Shusaku Tsumoto:
Extraction of Experts' Decision Process from Clinical Databases Using Rough Set Model. PKDD 1997: 58-67 - 1996
- [j4]Shusaku Tsumoto, Hiroshi Tanaka:
A Common Algebraic Framework of Empirical Learning Methods Based on Rough Sets and Matroid Theory. Fundam. Informaticae 27(2/3): 273-288 (1996) - [j3]Shusaku Tsumoto, Hiroshi Tanaka:
Machine Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation. Intell. Autom. Soft Comput. 2(2): 169-180 (1996) - [c14]Shusaku Tsumoto, Hiroshi Tanaka:
Induction of Expert System Rules from Databases Based on Rough Set Theory and Resampling Methods. ISMIS 1996: 128-138 - [c13]Shusaku Tsumoto, Wojciech Ziarko:
The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis. ISMIS 1996: 438-447 - [c12]Shusaku Tsumoto, Hiroshi Tanaka:
Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets. KDD 1996: 63-69 - 1995
- [j2]Shusaku Tsumoto, Hiroshi Tanaka:
PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods. Comput. Intell. 11: 389-405 (1995) - [j1]Shusaku Tsumoto, Hiroshi Tanaka, Hiromi Amano, Kimie Ohyama, Takayuki Kuroda:
COBRA: Integration of Heterogeneous Knowledge-Bases in Medical Domain. Int. J. Cooperative Inf. Syst. 4(4): 387-404 (1995) - [c11]Shusaku Tsumoto, Hiroshi Tanaka, Hiromi Amano, Kimie Ohyama, Takayuki Kuroda:
COBRA: Integration of Knowledge-Bases with Case-Databases in the Domain of Congenital Malformation. AIME 1995: 393-394 - [c10]Shusaku Tsumoto, Hiroshi Tanaka:
Induction of Expert System Rules from Clinical Databases Based on Rough Set Theory and Resampling Methods. AIME 1995: 399-400 - [c9]Shusaku Tsumoto, Hiroshi Tanaka:
Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing. KDD 1995: 312-317 - [c8]Shusaku Tsumoto, Hiroshi Tanaka:
Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation. KDD 1995: 318-324 - [c7]Shusaku Tsumoto, Hiroshi Tanaka:
Algebraic Formulation of Empirical Learning Methods Based on Rough Sets and Matroid Theory. WOCFAI 1995: 393-404 - 1994
- [c6]Shusaku Tsumoto, Hiroshi Tanaka:
Algebraic Specification of Empirical Inductive Learning Methods based on Rough Sets and Matroid Theory. AISMC 1994: 224-243 - [c5]Shusaku Tsumoto, Hiroshi Tanaka:
Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods. KDD Workshop 1994: 121-132 - 1993
- [c4]Shusaku Tsumoto, Hiroshi Tanaka:
Induction of Probabilistic Rules Based on Rough Set Theory. ALT 1993: 410-423 - [c3]Shusaku Tsumoto, Hiroshi Tanaka:
PRIMEROSE: Probabilistic Rule Induction Method Based on Rough Set Theory. RSKD 1993: 274-281 - [c2]Shusaku Tsumoto, Hiroshi Tanaka:
AQ, Rough Sets, and Matroid Theory. RSKD 1993: 290-297
1980 – 1989
- 1985
- [c1]Yasushi Matsumura, Takashi Matsunaga, Yusuke Maeda, Shusaku Tsumoto, Hiroshi Matsumura, Michio Kimura:
Consultation System for Diagnosis of Headache and Facial Pain: "RHINOS". LP 1985: 287-298
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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