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 | 2013 | |
|---|---|---|
| j38 |      | |
| 2012 | ||
| j37 | | Hidenao Abe, Shusaku Tsumoto: Detection of research trends from bibliographical data. IJDMMM 4(3): 255-266 (2012) |
| c224 | | Shusaku Tsumoto, Hidenao Abe: Comparing similarity of concepts identified by temporal patterns of terms in biomedical research documents. ICCI*CC 2012: 86-93 |
| c223 | | Shusaku Tsumoto, Haruko Iwata, Shoji Hirano, Yuko Tsumoto: Exploratory temporal data mining process in hospital information systems. ICCI*CC 2012: 145-152 |
| c222 | | Shusaku Tsumoto, Haruko Iwata, Shoji Hirano: Construction and maintenance of clinical pathways using data mining methods. MIX-HS 2012: 47-52 |
| c221 | | 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 |
| c220 | | |
| c219 | | 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 |
| c218 | | Shusaku Tsumoto, Shoji Hirano: Incremental Rules Induction Method Based on Three Rule Layers. ISMIS 2012: 71-80 |
| c217 | | |
| c216 | | Shusaku Tsumoto, Hidenao Abe: Comparing Similarity of Concepts Identified by Temporal Patterns of Terms in Biomedical Research Documents. RSKT 2012: 232-241 |
| c215 | | Shusaku Tsumoto, Shoji Hirano: Trajectories mining in hospital information systems. SMC 2012: 389-394 |
| c214 | | Shusaku Tsumoto, Shoji Hirano: Information granules in medical differential diagnosis. SMC 2012: 395-401 |
| c213 | | Shusaku Tsumoto, Shoji Hirano, Haruko Iwata: Data-oriented maintenance of clinical pathway using clustering and multidimensional scaling. SMC 2012: 2596-2600 |
| c212 | | Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, Yuko Tsumoto: Characterizing Hospital Services Using Temporal Data Mining. SRII Global Conference 2012: 219-230 |
| e15 | | Fabio Massimo Zanzotto, Shusaku Tsumoto, Niels Taatgen, Yiyu Yao (Eds.): 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 |
| 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. The Review of Socionetwork Strategies 5(2): 43-55 (2011) |
| j33 | | Hidenao Abe, Shusaku Tsumoto: Evaluating a Temporal Pattern Detection Method for Finding Research Keys in Bibliographical Data. T. Rough Sets 14: 1-17 (2011) |
| c211 | | |
| c210 | | Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, Yuko Tsumoto: Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach. FGIT 2011: 1-16 |
| c209 | | Hidenao Abe, Shusaku Tsumoto: Constructing features for document classification by using temporal patterns of term usages. GrC 2011: 30-36 |
| c208 | | Shoji Hirano, Shusaku Tsumoto: A clustering method for asymmetric proximity data based on bi-links with ε-indiscernibility. GrC 2011: 242-245 |
| c207 | | Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto: Clustering-based analysis in hospital information systems. GrC 2011: 669-674 |
| c206 | | Shusaku Tsumoto, Shoji Hirano: Combinatorics of pearson residuals and degree of freedom in contingency tables. GrC 2011: 675-680 |
| c205 | | Shusaku Tsumoto: A new framework for incremental rule induction based on rough sets. GrC 2011: 681-686 |
| c204 | | Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto: Visualization of Hospital Services Using Data Mining Methods. ICDM Workshops 2011: 1183-1190 |
| c203 | | Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto: Information reuse in hospital information systems: A data mining approach. IRI 2011: 172-176 |
| c202 | | |
| c201 | | Hidenao Abe, Shusaku Tsumoto: Mining Classification Rules for Detecting Medication Order Changes by Using Characteristic CPOE Subsequences. ISMIS 2011: 80-89 |
| c200 | | Shusaku Tsumoto, Katsuhiko Takabayashi: Data Mining in Meningoencephalitis: The Starting Point of Discovery Challenge. ISMIS 2011: 133-139 |
| c199 | | Hidenao Abe, Shusaku Tsumoto: Comparing a Clustering Density Criteria of Temporal Patterns of Terms Obtained by Different Feature Sets. RSKT 2011: 248-257 |
| c198 | | Shusaku Tsumoto, Shoji Hirano: Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach. RSKT 2011: 382-387 |
| c197 | | 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. Inform. 98(1): 107-121 (2010) |
| j31 | | Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi: Improving a rule evaluation support method based on objective indices. IJAIP 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. IJCINI 4(2): 1-11 (2010) |
| j29 | | Shoji Hirano, Shusaku Tsumoto: Multiscale Comparison and Clustering of Three-Dimensional Trajectories Based on Curvature Maxima. International Journal of Information Technology and Decision Making 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. The Review of Socionetwork Strategies 4(2): 47-63 (2010) |
| c196 | | Shusaku Tsumoto, Shoji Hirano, Hidenao Abe: Sampling from databases for rule induction methods based on likelihood ratio test. IEEE ICCI 2010: 174-179 |
| c195 | | Shusaku Tsumoto: Incremental discovery of probabilistic rules from clinical databases based on rough set theory. IEEE ICCI 2010: 339-344 |
| c194 | | Hidenao Abe, Shusaku Tsumoto: Comparing order entry subsequences related to CPOE correction factors. IEEE ICCI 2010: 806-810 |
| c193 | | Hidenao Abe, Shusaku Tsumoto: Analysis of Research Keys as Tempral Patterns of Technical Term Usages in Bibliographical Data. AMT 2010: 150-157 |
| c192 | | Shoji Hirano, Shusaku Tsumoto: Hierarchical, Granular Representation of Non-metric Proximity Data. GrC 2010: 217-222 |
| c191 | | Shusaku Tsumoto, Shoji Hirano: Information Granules of Statistical Dependence in Multiway Contingency Tables. GrC 2010: 483-488 |
| c190 | | Shusaku Tsumoto, Shoji Hirano: Geometrical and Combinatorial Nature of Pearson Residuals. GrC 2010: 489-494 |
| c189 | | |
| c188 | | Shoji Hirano, Shusaku Tsumoto: Curvature Maxima-based Trajectories Mining. ICDM Workshops 2010: 257-264 |
| c187 | | Hidenao Abe, Shusaku Tsumoto: Text Categorization with Considering Temporal Patterns of Term Usages. ICDM Workshops 2010: 800-807 |
| c186 | | 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 |
| c185 | | Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto: Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management. ICDM Workshops 2010: 1076-1083 |
| c184 | | Hidenao Abe, Shusaku Tsumoto: Mining Temporal Patterns of Technical Term Usages in Bibliographical Data. Intelligent Information Processing 2010: 130-138 |
| c183 | | 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 |
| c182 | | Hidenao Abe, Shusaku Tsumoto: Discovering Research Key Terms as Temporal Patterns of Importance Indices for Text Mining. KES (3) 2010: 297-306 |
| c181 | | Shoji Hirano, Shusaku Tsumoto: Representation of Granularity for Non-Euclidian Relational Data by Jaccard Coefficients and Binary Classifications. RSCTC 2010: 721-729 |
| c180 | | Shusaku Tsumoto, Shoji Hirano, Hidenao Abe: Likelihood-Based Sampling from Databases for Rule Induction Methods. RSKT 2010: 265-272 |
| c179 | | Shusaku Tsumoto, Shoji Hirano: Residual Analysis of Statistical Dependence in Multiway Contingency Tables. RSKT 2010: 273-280 |
| c178 | | Shoji Hirano, Shusaku Tsumoto: Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to Medicine. SBP 2010: 128-137 |
| c177 | | |
| c176 | | |
| e14 | | James F. Peters, Andrzej Skowron, Roman Slowinski, Pawan Lingras, Duoqian Miao, Shusaku Tsumoto (Eds.): Transactions on Rough Sets XII. Lecture Notes in Computer Science 6190, Springer 2010, isbn 978-3-642-14466-0 |
| 2009 | ||
| e13 |  | Djamel A. Zighed, Shusaku Tsumoto, Zbigniew W. Ras, Hakim Hacid (Eds.): Mining Complex Data. Studies in Computational Intelligence 165, Springer 2009, isbn 978-3-540-88066-0 |
| j27 | | Shusaku Tsumoto, Shoji Hirano: Statistical Independence and Determinants in a Contingency Table - Interpretation of Pearson Residuals based on Linear Algebra -. Fundam. Inform. 90(3): 251-267 (2009) |
| j26 | | Yingxu Wang, Du Zhang, Shusaku Tsumoto: Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I). Fundam. Inform. 90(3) (2009) |
| j25 | | Hidenao Abe, Shusaku Tsumoto: Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions. Fundam. Inform. 90(4): 369-378 (2009) |
| j24 | | Shusaku Tsumoto, Shoji Hirano: Contingency Matrix Theory II: Degree of Dependence as Granularity. Fundam. Inform. 90(4): 427-442 (2009) |
| j23 | | Yingxu Wang, Du Zhang, Shusaku Tsumoto: Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II). Fundam. Inform. 90(4) (2009) |
| j22 | | Shusaku Tsumoto: Contingency matrix theory: Statistical dependence in a contingency table. Inf. Sci. 179(11): 1615-1627 (2009) |
| c175 | | Hidenao Abe, Shusaku Tsumoto: Evaluating a method to detect temporal trends of phrases in research documents. IEEE ICCI 2009: 378-383 |
| c174 | | Hidenao Abe, Shusaku Tsumoto: Detection of trends of technical phrases in text mining. GrC 2009: 7-12 |
| c173 | | Shusaku Tsumoto, Shoji Hirano, Hidenao Abe: Multivariate statistical independence and contingency tables. GrC 2009: 544-548 |
| c172 | | Hidenao Abe, Shusaku Tsumoto: Detecting Similarity of Transferring Datasets Based on Features of Classification Rules. ICDM Workshops 2009: 412-415 |
| c171 | | Hidenao Abe, Shusaku Tsumoto: Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression. ISMIS 2009: 251-260 |
| c170 | | Shusaku Tsumoto, Hidenao Abe: Evaluation of a Classification Rule Mining Algorithm Based on Secondary Differences. KES (2) 2009: 24-31 |
| c169 | | Hidenao Abe, Shusaku Tsumoto: Detecting Temporal Patterns of Importance Indices about Technical Phrases. KES (2) 2009: 252-258 |
| c168 | | Shoji Hirano, Shusaku Tsumoto: Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step. RSFDGrC 2009: 361-368 |
| c167 | | Hidenao Abe, Shusaku Tsumoto: Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method. RSFDGrC 2009: 502-509 |
| c166 | | Hidenao Abe, Shusaku Tsumoto: A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single Indices. RSKT 2009: 160-167 |
| c165 | | Shusaku Tsumoto, Shoji Hirano, Hidenao Abe: Pearson Residuals in Multi-way Contingency Tables. SMC 2009: 2531-2536 |
| c164 | | |
| c163 | | Hidenao Abe, Shusaku Tsumoto: Detecting Temporal Patterns of Technical Phrases by using Importance Indices in a Research Documents. SMC 2009: 2959-2964 |
| p9 | | 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 |
| 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 |
| e12 | | Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi (Eds.): 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 |
| e11 | | Peng Wen, Yuefeng Li, Lech Polkowski, Yiyu Yao, Shusaku Tsumoto, Guoyin Wang (Eds.): 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 |
| 2008 | ||
| e10 | | Shuichi Iwata, Yukio Ohsawa, Shusaku Tsumoto, Ning Zhong, Yong Shi, Lorenzo Magnani (Eds.): Communications and Discoveries from Multidisciplinary Data. Studies in Computational Intelligence 123, Springer 2008, isbn 978-3-540-78732-7 |
| j21 | | Shusaku Tsumoto, Shoji Hirano: Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency Table. Transactions on Computational Science 2: 161-179 (2008) |
| c162 | | |
| c161 | | Shusaku Tsumoto, Shoji Hirano: Fuzziness from attribute generalization in information table. IEEE ICCI 2008: 455-461 |
| c160 | | Shusaku Tsumoto, Shoji Hirano: Statistical independence in three-variables contingency cube. IEEE ICCI 2008: 468-474 |
| c159 | | Shusaku Tsumoto, Shoji Hirano: Mining Trajectories of Laboratory Data using Multiscale Matching and Clustering. CBMS 2008: 626-631 |
| c158 | | Shusaku Tsumoto, Shoji Hirano: Partial statistical independence in contingency matrix. FUZZ-IEEE 2008: 2412-2419 |
| c157 | | Shoji Hirano, Shusaku Tsumoto: Trajectory mining using multiscale matching and clustering. FUZZ-IEEE 2008: 2420-2427 |
| c156 | | Shusaku Tsumoto, Shoji Hirano: Decomposition of Pearson Residuals of Three-variables Contingency Cube. GrC 2008: 61-66 |
| c155 | | Hidenao Abe, Shusaku Tsumoto: Investigating Accuracies of Rule Evaluation Models on Randomized Labeling and Human Evaluation. GrC 2008: 95-100 |
| c154 | | Shoji Hirano, Shusaku Tsumoto: Hierarchical Clustering of Asymmetric Proximity Data based on the Indiscernibility-level. GrC 2008: 275-280 |
| c153 | | Hidenao Abe, Shusaku Tsumoto: Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets. ICDM Workshops 2008: 1-7 |
| c152 | | Shusaku Tsumoto, Shoji Hirano: Statistical Independence and Contingency Matrix. ICDM Workshops 2008: 643-648 |
| c151 | | |
| c150 | | Hidenao Abe, Shusaku Tsumoto: Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient. ISMIS 2008: 84-89 |
| c149 | | Hidenao Abe, Shusaku Tsumoto: Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient. KES (2) 2008: 758-765 |
| c148 | | Shoji Hirano, Shusaku Tsumoto: Detection of Risk Factors as Temporal Data Mining. PAKDD Workshops 2008: 143-156 |
| c147 | | Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi: Finding Functional Groups of Objective Rule Evaluation Indices Using PCA. PAKM 2008: 197-206 |
| c146 | | Shusaku Tsumoto, Shoji Hirano: Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra. RSCTC 2008: 103-112 |
| c145 | | Hidenao Abe, Shusaku Tsumoto: Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria. RSCTC 2008: 293-298 |
| c144 | | Shoji Hirano, Shusaku Tsumoto: Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-Level. RSKT 2008: 332-339 |
| c143 | | Hidenao Abe, Shusaku Tsumoto: Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules. RSKT 2008: 467-474 |
| c142 | | |
| p8 | | 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 |
| p7 | | 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 |
| p6 | | Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama: Risk Mining for Infection Control. Communications and Discoveries from Multidisciplinary Data 2008: 283-297 |
| p5 | | Shusaku Tsumoto: On Pseudo-Statistical Independence in a Contingency Table. Data Mining: Foundations and Practice 2008: 387-403 |
| p4 | | Shusaku Tsumoto: Role of Sample Size and Determinants in Granularity of Contingency Matrix. Data Mining: Foundations and Practice 2008: 405-421 |
| e9 | | Zbigniew W. Ras, Shusaku Tsumoto, Djamel A. Zighed (Eds.): 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 |
| 2007 | ||
| j20 | | Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi: Evaluation of rule interestingness measures in medical knowledge discovery in databases. Artificial Intelligence in 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 Science Journal 6: 285-296 (2007) |
| j18 | | Shusaku Tsumoto, Shoji Hirano: Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling. Fundam. Inform. 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. KES Journal 11(5): 345-354 (2007) |
| c141 | | Shusaku Tsumoto, Shoji Hirano: Charcteristics of Pearson Residuals in a Contingency Matrix. IEEE ICCI 2007: 195-204 |
| c140 | | 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 |
| c139 | | 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 |
| c138 | | Shoji Hirano, Shusaku Tsumoto: Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining. MCD 2007: 27-41 |
| c137 | | 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 |
| c136 | | Shusaku Tsumoto, Shoji Hirano: Meaning of Pearson Residuals - Linear Algebra View. GrC 2007: 465-470 |
| c135 | | Shusaku Tsumoto: Mining Diagnostic Taxonomy and Diagnostic Rules for Multi-Stage Medical Diagnosis from Hospital Clinical Data. GrC 2007: 611-616 |
| c134 | | 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 |
| c133 | | 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 |
| c132 | | Takashi Washio, Shusaku Tsumoto: International Workshop on Risk Informatics (RI2007). JSAI 2007: 245-246 |
| c131 | | 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 |
| c130 | | Shoji Hirano, Shusaku Tsumoto: Discovery of Risky Cases in Chronic Diseases: An Approach Using Trajectory Grouping. JSAI 2007: 289-302 |
| c129 | | 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 |
| c128 | | Shusaku Tsumoto, Shoji Hirano: Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling. KES (2) 2007: 978-986 |
| c127 | | 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 |
| c126 | | |
| c125 | | Shusaku Tsumoto: Attribute Generalization and Fuzziness in Data Mining Contexts. RSFDGrC 2007: 379-386 |
| c124 | | Shoji Hirano, Shusaku Tsumoto: Dealing with granularity on non-euclidean relational data based on indiscernibility level. SMC 2007: 3772-3777 |
| c123 | | |
| c122 | | Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi: Evaluating learning algorithms for a rule evaluation support method. SMC 2007: 3784-3789 |
| 2006 | ||
| e8 | | Yukio Ohsawa, Shusaku Tsumoto (Eds.): 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 |
| c121 | | Shusaku Tsumoto: Data Structure and Algorithm in Data Mining: Granular Computing View. COMPSAC (1) 2006: 26-27 |
| c120 | | Shusaku Tsumoto, Shoji Hirano: Analysis of sample size effect on dependency of contingency matrix. GrC 2006: 712-715 |
| c119 | | Shusaku Tsumoto, Shoji Hirano: Characterization of contextual independence of contingency matrix. GrC 2006: 716-719 |
| c118 | | 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 |
| c117 | | Shusaku Tsumoto, Shoji Hirano: Residual Matrix and Statistical Independence in a Contingency Table. ICDM Workshops 2006: 433-437 |
| c116 | | Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama: Risk Mining in Hospital Information Systems. ICDM Workshops 2006: 699-704 |
| c115 | | 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 |
| c114 | | Shoji Hirano, Shusaku Tsumoto: Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques. ICDM 2006: 896-901 |
| c113 | | 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 |
| c112 | | Shoji Hirano, Shusaku Tsumoto: Characteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations. ISMIS 2006: 454-462 |
| c111 | | |
| c110 | | 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 |
| c109 | | Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi: Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. PAKDD 2006: 509-519 |
| c108 | | 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 |
| c107 | | |
| c106 | | Shusaku Tsumoto, Shoji Hirano: Distribution of Determinants of Contingency Matrix. RSCTC 2006: 567-576 |
| c105 | | Shusaku Tsumoto, Shoji Hirano: Interpretation of Contingency Matrix Using Marginal Distributions. RSCTC 2006: 577-586 |
| c104 | | 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 |
| c103 | | 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 |
| c102 | | Shoji Hirano, Shusaku Tsumoto: A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering. RSCTC 2006: 872-881 |
| c101 | | Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi: Developing a Rule Evaluation Support Method Based on Objective Indices. RSKT 2006: 456-461 |
| c100 | | Shoji Hirano, Shusaku Tsumoto: On the Nature of Degree of Indiscerniblity for Rough Clustering. SMC 2006: 3447-3452 |
| c99 | | Shusaku Tsumoto, Shoji Hirano: Meaning of Marginal Distributions in a Contingency Table. SMC 2006: 4753-4758 |
| c98 | | Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama: Risk Mining in Hospital Information Systems. SMC 2006: 4802-4806 |
| c97 | | Shusaku Tsumoto, Yuko Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama: Risk Mining in Medicine: Application of Data Mining to Medical Risk Management. WImBI 2006: 471-493 |
| p3 | | Shusaku Tsumoto: Statistical Independence as Linear Dependence in a Contingency Table. Foundations and Novel Approaches in Data Mining 2006: 61-73 |
| p2 | | Yuko Tsumoto, Shusaku Tsumoto: Mining Hospital Management Data using R. Chance Discoveries in Real World Decision Making 2006: 393-404 |
| e7 | | Achim G. Hoffmann, Byeong Ho Kang, Debbie Richards, Shusaku Tsumoto (Eds.): 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 |
| 2005 | ||
| e6 | | Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu, Shusaku Tsumoto (Eds.): Foundations of Data Mining and knowledge Discovery. Studies in Computational Intelligence 6, Springer 2005, isbn 978-3-540-26257-2 |
| j16 | | Shoji Hirano, Shusaku Tsumoto: Rough representation of a region of interest in medical images. Int. J. Approx. Reasoning 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) |
| c96 | | Shusaku Tsumoto, Shoji Hirano: Degree of Dependence as Granularity in a Contingency Table. GrC 2005: 63-69 |
| c95 | | |
| c94 | | |
| c93 | | 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 |
| c92 | | Shoji Hirano, Shusaku Tsumoto: Grouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering. HIS 2005: 399-404 |
| c91 | | 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 |
| c90 | | Shusaku Tsumoto, Shoji Hirano: Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling. ISMIS 2005: 38-46 |
| c89 | | |
| c88 | | Shoji Hirano, Shusaku Tsumoto: Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching. ISMIS 2005: 612-621 |
| c87 | | Shoji Hirano, Shusaku Tsumoto: On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering. JSAI Workshops 2005: 5-16 |
| c86 | | Shusaku Tsumoto, Shoji Hirano: On Degree of Dependence Based on Contingency Matrix. RSFDGrC (1) 2005: 471-480 |
| c85 | | Shoji Hirano, Shusaku Tsumoto: A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records. RSFDGrC (1) 2005: 612-621 |
| c84 | | Shoji Hirano, Shusaku Tsumoto: A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster. SAINT Workshops 2005: 344-347 |
| c83 | | Shoji Hirano, Shusaku Tsumoto: Strucutural Comparison and Cluster Analysis of Time-Series Medical Data. SMC 2005: 1506-1511 |
| c82 | | Shusaku Tsumoto: Visualization of differences between rules' syntactic and semantic similarities. SMC 2005: 3588-3592 |
| c81 | | Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, Hideaki Nakakuni, Eisuke Hanada: Clinical Decision Support Based on Mobile Telecommunication Systems. Web Intelligence 2005: 700-703 |
| p1 | | Shusaku Tsumoto: On Statistical Independence in a Contingency Table. Foundations of Data Mining and knowledge Discovery 2005: 131-141 |
| e5 | | Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda (Eds.): 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 |
| e4 | | Mohand-Said Hacid, Neil V. Murray, Zbigniew W. Ras, Shusaku Tsumoto (Eds.): 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 |
| 2004 | ||
| j14 | | Shusaku Tsumoto: Extraction of Structure of Medical Diagnosis from Clinical Data. Fundam. Inform. 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) |
| c80 | | Shoji Hirano, Shusaku Tsumoto: Cluster analysis of long time-series medical datasets. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 13-20 |
| c79 | | Shusaku Tsumoto: Rank and independence in contingency table. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 178-189 |
| c78 | | Masayuki Numao, Takahira Yamaguchi, Shusaku Tsumoto, Hiroshi Motoda: Workshop on Active Mining (AM-2004). JSAI Workshops 2004: 463 |
| c77 | | Shusaku Tsumoto: Mining Diagnostic Taxonomy Using Interval-Based Similarity from Clinical Databases. MDAI 2004: 115-126 |
| c76 | | Shusaku Tsumoto, Shoji Hirano: A Comparative Study of Clustering Methods for Long Time-Series Medical Databases. MDAI 2004: 260-272 |
| c75 | | Shoji Hirano, Shusaku Tsumoto: Finding Interesting Pass Patterns from Soccer Game Records. PKDD 2004: 209-218 |
| c74 | | Shoji Hirano, Shusaku Tsumoto: On the Degree of Independence of a Contingency Matrix. Rough Sets and Current Trends in Computing 2004: 219-228 |
| c73 | | Shoji Hirano, Shusaku Tsumoto: Detection of Differences between Syntactic and Semantic Similarities. Rough Sets and Current Trends in Computing 2004: 529-538 |
| e3 | | Shusaku Tsumoto, Roman Slowinski, Henryk Jan Komorowski, Jerzy W. Grzymala-Busse (Eds.): 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 |
| 2003 | ||
| j11 | | Shusaku Tsumoto: Statistical Independence as Linear Independence. Electr. Notes Theor. Comput. Sci. 82(4): 274-285 (2003) |
| j10 | | Shusaku Tsumoto: Automated extraction of hierarchical decision rules from clinical databases using rough set model. Expert Syst. Appl. 24(2): 189-197 (2003) |
| j9 | | Shoji Hirano, Shusaku Tsumoto: An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-. JACIII 7(2): 169-177 (2003) |
| j8 | | Shusaku Tsumoto: Chance Discovery in Medicine - Detection of Rare Risky Events in Chronic Diseases. New Generation Comput. 21(2): 135-147 (2003) |
| c72 | | Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda: Active Mining Project: Overview. Active Mining 2003: 1-10 |
| c71 | | Shoji Hirano, Shusaku Tsumoto: Empirical Comparison of Clustering Methods for Long Time-Series Databases. Active Mining 2003: 268-286 |
| c70 | | Shusaku Tsumoto, Shoji Hirano, Eisuke Hanada: Internet-based Decision Support: Towards E-Hospital. COMPSAC 2003: 595-600 |
| c69 | | Shusaku Tsumoto, Shoji Hirano: Visualization of Rule's Similarity using Multidimensional Scaling. ICDM 2003: 339-346 |
| c68 | | Shusaku Tsumoto, Shoji Hirano: Pattern Discovery based on Rule Induction and Taxonomy Generation. ICDM 2003: 661-664 |
| c67 | | Shusaku Tsumoto: Mining Multi-level Diagnostic Process Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model. IFSA 2003: 362-369 |
| c66 | | Shoji Hirano, Shusaku Tsumoto: Indiscernibility-Based Clustering: Rough Clustering. IFSA 2003: 378-386 |
| c65 | | |
| c64 | | Shoji Hirano, Shusaku Tsumoto: Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching. ISMIS 2003: 454-462 |
| c63 | | Shoji Hirano, Shusaku Tsumoto: Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach. PAKDD 2003: 513-518 |
| c62 | | Shoji Hirano, Shusaku Tsumoto: An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations. PKDD 2003: 192-203 |
| c61 | | Shusaku Tsumoto: Mining Rules of Multi-level Diagnostic Procedure from Databases. PKDD 2003: 459-470 |
| c60 | | |
| c59 | | |
| c58 | | |
| c57 | | Shusaku Tsumoto: Web based medical decision support system: application of internet to telemedicine. SAINT Workshops 2003: 288-293 |
| c56 | | |
| c55 | | Shusaku Tsumoto: Web Based Medical Decision Support System for Neurological Diseases. Web Intelligence 2003: 629-632 |
| e2 | | Ning Zhong, Zbigniew W. Ras, Shusaku Tsumoto, Einoshin Suzuki (Eds.): 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 |
| 2002 | ||
| j7 | | Shusaku Tsumoto, Shoji Hirano, Akira Yasuda, Kouhei Tsumoto: Analysis of amino-acid sequences by statistical technique. Inf. Sci. 145(3-4): 205-214 (2002) |
| c54 | | Shusaku Tsumoto, Tsau Young Lin, James F. Peters: Foundations of Data Mining via Granular and Rough Computing. COMPSAC 2002: 1123-1124 |
| c53 | | Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto: On Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases. COMPSAC 2002: 1170-1175 |
| c52 | | |
| c51 | | Shusaku Tsumoto: Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets. Progress in Discovery Science 2002: 543-552 |
| c50 | | Shoji Hirano, Shusaku Tsumoto: Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine. ICDM 2002: 219-226 |
| c49 | | Shusaku Tsumoto: Automated Discovery of Decision Rule Chains Using Rough Sets and Medical Diagnostic Model. ISMIS 2002: 321-332 |
| c48 | | Shusaku Tsumoto, Shoji Hirano, Akira Yasuda, Kouhei Tsumoto: Analysis of Amino Acid Sequences by Statistical Technique. JCIS 2002: 1169-1173 |
| c47 | | Shoji Hirano, Shusaku Tsumoto: Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases. PKDD 2002: 188-199 |
| c46 | | Shusaku Tsumoto: Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets aaand Medical Diagnostic Model. PKDD 2002: 423-434 |
| c45 | | Shusaku Tsumoto: Accuracy and Coverage in Rough Set Rule Induction. Rough Sets and Current Trends in Computing 2002: 373-380 |
| c44 | | Shusaku Tsumoto: Statistical Test for Rough Set Approximation Based on Fisher's Exact Test. Rough Sets and Current Trends in Computing 2002: 381-388 |
| c43 | | 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 | ||
| c42 | | Shoji Hirano, Shusaku Tsumoto: A Knowledge-Oriented Clustering Technique Based on Rough Sets. COMPSAC 2001: 632-637 |
| c41 | | 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 |
| c40 | | Shusaku Tsumoto: Medical Diagnostic Rules As Upper Approximation of Rough Sets. FUZZ-IEEE 2001: 1551-1554 |
| c39 | | Shoji Hirano, Shusaku Tsumoto: Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure. ICDM 2001: 211-217 |
| c38 | | Shusaku Tsumoto, Shoji Hirano, Masahiro Inuiguchi: Workshop on Rough Set Theory and Granular Computing - Summary. JSAI Workshops 2001: 239 |
| c37 | | 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 |
| c36 | | 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 |
| c35 | | Shusaku Tsumoto: Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction. PKDD 2001: 448-459 |
| c34 | | 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 (Eds.): New Frontiers in Artificial Intelligence, Joint JSAI 2001 Workshop Post-Proceedings. Lecture Notes in Computer Science 2253, Springer 2001, isbn 3-540-43070-9 |
| 2000 | ||
| j6 | | Shusaku Tsumoto: Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic. Inf. Sci. 124(1-4): 125-137 (2000) |
| c33 | | |
| c32 | | Shusaku Tsumoto: Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies. ISMIS 2000: 573-581 |
| c31 | | Einoshin Suzuki, Shusaku Tsumoto: Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. PAKDD 2000: 208-211 |
| c30 | | Andrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto: Information Granules for Spatial Reasoning. PAKDD 2000: 380-383 |
| c29 | | Shusaku Tsumoto: Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies. PKDD 2000: 652-656 |
| c28 | | Shusaku Tsumoto: An Approach to Statistical Extention of Rough Set Rule Induction. Rough Sets and Current Trends in Computing 2000: 362-369 |
| c27 | | Shusaku Tsumoto: Diagnostic Reasoning from the Viewpoint of Rough Sets. Rough Sets and Current Trends in Computing 2000: 495-502 |
| 1999 | ||
| c26 | | Shusaku Tsumoto: Knowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics. ISMIS 1999: 349-357 |
| c25 | | Shusaku Tsumoto: Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion. PAKDD 1999: 210-219 |
| c24 | | Shusaku Tsumoto: Rule Discovery in Databases with Missing Values Based on Rough Set Model. PAKDD 1999: 274-278 |
| c23 | | |
| c22 | | Shusaku Tsumoto: Knowledge Discovery in Medical Multi-databases: A Rough Set Approach. PKDD 1999: 147-155 |
| c21 | | Shinsuke Sugaya, Einoshin Suzuki, Shusaku Tsumoto: Support Vector Machines for Knowledge Discovery. PKDD 1999: 561-567 |
| c20 | | Shusaku Tsumoto: Discovery of Rules about Compilations - A Rough Set Approach in Medical Knowledge Discovery. RSFDGrC 1999: 29-37 |
| c19 | | Shusaku Tsumoto, Tsau Young Lin: Context-Free Fuzzy Sets in Data Mining Context. RSFDGrC 1999: 212-220 |
| 1998 | ||
| j5 | | Shusaku Tsumoto: Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model. Intell. Data Anal. 2(1-4): 215-227 (1998) |
| j4 | | Shusaku Tsumoto: Automated Extraction of Medical Expert System Rules from Clinical Databases on Rough Set Theory. Inf. Sci. 112(1-4): 67-84 (1998) |
| c18 | | Shusaku Tsumoto: Discovery of Approximate Medical Knowledge Based on Rough Set Model. PKDD 1998: 468-476 |
| c17 | | Shusaku Tsumoto: Modelling Medical Diagnostic Rules Based on Rough Sets. Rough Sets and Current Trends in Computing 1998: 475-482 |
| 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 | ||
| j3 | | Shusaku Tsumoto, Hiroshi Tanaka: A Common Algebraic Framework of Empirical Learning Methods Based on Rough Sets and Matroid Theory. Fundam. Inform. 27(2/3): 273-288 (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. Computational Intelligence 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 | | |
| 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 |
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