 | 2012 |
|---|
| 105 |       | Shusaku Tsumoto,
Shoji Hirano:
Multidimensional temporal mining in clinical data.
IHI 2012: 563-572 |
| 2011 |
|---|
| 104 | | Shusaku Tsumoto,
Shoji Hirano,
Haruko Iwata,
Yuko Tsumoto:
Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach.
FGIT 2011: 1-16 |
| 103 | | Shoji Hirano,
Shusaku Tsumoto:
A clustering method for asymmetric proximity data based on bi-links with ε-indiscernibility.
GrC 2011: 242-245 |
| 102 | | Shusaku Tsumoto,
Shoji Hirano,
Yuko Tsumoto:
Clustering-based analysis in hospital information systems.
GrC 2011: 669-674 |
| 101 | | Shusaku Tsumoto,
Shoji Hirano:
Combinatorics of pearson residuals and degree of freedom in contingency tables.
GrC 2011: 675-680 |
| 100 | | Shusaku Tsumoto,
Shoji Hirano,
Yuko Tsumoto:
Visualization of Hospital Services Using Data Mining Methods.
ICDM Workshops 2011: 1183-1190 |
| 99 | | Shusaku Tsumoto,
Shoji Hirano,
Yuko Tsumoto:
Information reuse in hospital information systems: A data mining approach.
IRI 2011: 172-176 |
| 98 | | Shusaku Tsumoto,
Shoji Hirano:
Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach.
RSKT 2011: 382-387 |
| 97 | | Shusaku Tsumoto,
Shoji Hirano,
Hidenao Abe,
Yuko Tsumoto:
Temporal data mining in history data of hospital information systems.
SMC 2011: 2350-2356 |
| 96 | | Shusaku Tsumoto,
Shoji Hirano:
Detection of risk factors using trajectory mining.
J. Intell. Inf. Syst. 36(3): 403-425 (2011) |
| 2010 |
|---|
| 95 | | Shoji Hirano,
Shusaku Tsumoto:
Hierarchical, Granular Representation of Non-metric Proximity Data.
GrC 2010: 217-222 |
| 94 | | Shusaku Tsumoto,
Shoji Hirano:
Information Granules of Statistical Dependence in Multiway Contingency Tables.
GrC 2010: 483-488 |
| 93 | | Shusaku Tsumoto,
Shoji Hirano:
Geometrical and Combinatorial Nature of Pearson Residuals.
GrC 2010: 489-494 |
| 92 | | Shusaku Tsumoto,
Shoji Hirano,
Yuko Tsumoto:
Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management.
ICDM Workshops 2010: 1076-1083 |
| 91 | | Shoji Hirano,
Shusaku Tsumoto:
Curvature Maxima-based Trajectories Mining.
ICDM Workshops 2010: 257-264 |
| 90 | | 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 |
| 89 | | 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 |
| 88 | | Shoji Hirano,
Shusaku Tsumoto:
Representation of Granularity for Non-Euclidian Relational Data by Jaccard Coefficients and Binary Classifications.
RSCTC 2010: 721-729 |
| 87 | | Shusaku Tsumoto,
Shoji Hirano,
Hidenao Abe:
Likelihood-Based Sampling from Databases for Rule Induction Methods.
RSKT 2010: 265-272 |
| 86 | | Shusaku Tsumoto,
Shoji Hirano:
Residual Analysis of Statistical Dependence in Multiway Contingency Tables.
RSKT 2010: 273-280 |
| 85 | | Shoji Hirano,
Shusaku Tsumoto:
Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to Medicine.
SBP 2010: 128-137 |
| 84 | | Shusaku Tsumoto,
Shoji Hirano:
Three dimensional trajectories mining.
SMC 2010: 500-505 |
| 83 | | Shusaku Tsumoto,
Shoji Hirano:
Risk Mining in Medicine: Application of Data Mining to Medical Risk Management.
Fundam. Inform. 98(1): 107-121 (2010) |
| 82 | | 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) |
| 2009 |
|---|
| 81 | | Shusaku Tsumoto,
Shoji Hirano,
Hidenao Abe:
Multivariate statistical independence and contingency tables.
GrC 2009: 544-548 |
| 80 | | Shoji Hirano,
Shusaku Tsumoto:
Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step.
RSFDGrC 2009: 361-368 |
| 79 | | Shusaku Tsumoto,
Shoji Hirano,
Hidenao Abe:
Pearson Residuals in Multi-way Contingency Tables.
SMC 2009: 2531-2536 |
| 78 | | Shusaku Tsumoto,
Shoji Hirano:
Dependency and Granularity inData.
Encyclopedia of Complexity and Systems Science 2009: 1864-1872 |
| 77 | | 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) |
| 76 | | Shusaku Tsumoto,
Shoji Hirano:
Contingency Matrix Theory II: Degree of Dependence as Granularity.
Fundam. Inform. 90(4): 427-442 (2009) |
| 2008 |
|---|
| 75 | | Shusaku Tsumoto,
Shoji Hirano:
Mining Trajectories of Laboratory Data using Multiscale Matching and Clustering.
CBMS 2008: 626-631 |
| 74 | | Shoji Hirano,
Shusaku Tsumoto:
Hierarchical Clustering of Asymmetric Proximity Data based on the Indiscernibility-level.
GrC 2008: 275-280 |
| 73 | | Shusaku Tsumoto,
Shoji Hirano:
Decomposition of Pearson Residuals of Three-variables Contingency Cube.
GrC 2008: 61-66 |
| 72 | | Shusaku Tsumoto,
Shoji Hirano:
Statistical Independence and Contingency Matrix.
ICDM Workshops 2008: 643-648 |
| 71 | | Shusaku Tsumoto,
Shoji Hirano:
Fuzziness from attribute generalization in information table.
IEEE ICCI 2008: 455-461 |
| 70 | | Shusaku Tsumoto,
Shoji Hirano:
Statistical independence in three-variables contingency cube.
IEEE ICCI 2008: 468-474 |
| 69 | | Shusaku Tsumoto,
Shoji Hirano:
Hospital Management Based on Data Mining.
ISDA (3) 2008: 257-262 |
| 68 | | Shoji Hirano,
Shusaku Tsumoto:
Detection of Risk Factors as Temporal Data Mining.
PAKDD Workshops 2008: 143-156 |
| 67 | | Shusaku Tsumoto,
Shoji Hirano:
Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra.
RSCTC 2008: 103-112 |
| 66 | | Shoji Hirano,
Shusaku Tsumoto:
Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-Level.
RSKT 2008: 332-339 |
| 65 | | 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 |
| 64 | | Shusaku Tsumoto,
Shoji Hirano:
Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency Table.
Transactions on Computational Science 2: 161-179 (2008) |
| 2007 |
|---|
| 63 | | Shusaku Tsumoto,
Shoji Hirano:
Meaning of Pearson Residuals - Linear Algebra View.
GrC 2007: 465-470 |
| 62 | | 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 |
| 61 | | Shusaku Tsumoto,
Shoji Hirano:
Charcteristics of Pearson Residuals in a Contingency Matrix.
IEEE ICCI 2007: 195-204 |
| 60 | | Shoji Hirano,
Shusaku Tsumoto:
Discovery of Risky Cases in Chronic Diseases: An Approach Using Trajectory Grouping.
JSAI 2007: 289-302 |
| 59 | | Shusaku Tsumoto,
Shoji Hirano:
Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling.
KES (2) 2007: 978-986 |
| 58 | | Shoji Hirano,
Shusaku Tsumoto:
Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining.
MCD 2007: 27-41 |
| 57 | | Shoji Hirano,
Shusaku Tsumoto:
Dealing with granularity on non-euclidean relational data based on indiscernibility level.
SMC 2007: 3772-3777 |
| 56 | | Shusaku Tsumoto,
Shoji Hirano:
Contingency matrix theory.
SMC 2007: 3778-3783 |
| 55 | | Shusaku Tsumoto,
Shoji Hirano:
Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling.
Fundam. Inform. 78(4): 561-573 (2007) |
| 54 | | 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) |
| 2006 |
|---|
| 53 |  | Salvatore Greco,
Yutaka Hata,
Shoji Hirano,
Masahiro Inuiguchi,
Sadaaki Miyamoto,
Hung Son Nguyen,
Roman Slowinski:
Rough Sets and Current Trends in Computing, 5th International Conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006, Proceedings
Springer 2006 |
| 52 | | Shusaku Tsumoto,
Shoji Hirano:
Analysis of sample size effect on dependency of contingency matrix.
GrC 2006: 712-715 |
| 51 | | Shusaku Tsumoto,
Shoji Hirano:
Characterization of contextual independence of contingency matrix.
GrC 2006: 716-719 |
| 50 | | Shoji Hirano,
Shusaku Tsumoto:
Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques.
ICDM 2006: 896-901 |
| 49 | | Shusaku Tsumoto,
Shoji Hirano:
Residual Matrix and Statistical Independence in a Contingency Table.
ICDM Workshops 2006: 433-437 |
| 48 | | Shoji Hirano,
Shusaku Tsumoto:
Characteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations.
ISMIS 2006: 454-462 |
| 47 | | Shusaku Tsumoto,
Shoji Hirano:
Distribution of Determinants of Contingency Matrix.
RSCTC 2006: 567-576 |
| 46 | | Shusaku Tsumoto,
Shoji Hirano:
Interpretation of Contingency Matrix Using Marginal Distributions.
RSCTC 2006: 577-586 |
| 45 | | Shoji Hirano,
Shusaku Tsumoto:
A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering.
RSCTC 2006: 872-881 |
| 2005 |
|---|
| 44 | | Shoji Hirano,
Shusaku Tsumoto:
An indiscernibility-based clustering method.
GrC 2005: 468-473 |
| 43 | | Shusaku Tsumoto,
Shoji Hirano:
Degree of Dependence as Granularity in a Contingency Table.
GrC 2005: 63-69 |
| 42 | | Shusaku Tsumoto,
Shoji Hirano:
Linear independence in a contingency table.
GrC 2005: 646-651 |
| 41 | | Shoji Hirano,
Shusaku Tsumoto:
Grouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering.
HIS 2005: 399-404 |
| 40 | | Shusaku Tsumoto,
Shoji Hirano:
Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling.
ISMIS 2005: 38-46 |
| 39 | | Shoji Hirano,
Shusaku Tsumoto:
Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching.
ISMIS 2005: 612-621 |
| 38 | | Shoji Hirano,
Shusaku Tsumoto:
On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering.
JSAI Workshops 2005: 5-16 |
| 37 | | Shusaku Tsumoto,
Shoji Hirano:
On Degree of Dependence Based on Contingency Matrix.
RSFDGrC (1) 2005: 471-480 |
| 36 | | Shoji Hirano,
Shusaku Tsumoto:
A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records.
RSFDGrC (1) 2005: 612-621 |
| 35 | | Shoji Hirano,
Shusaku Tsumoto:
A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster.
SAINT Workshops 2005: 344-347 |
| 34 | | Shusaku Tsumoto,
Shoji Hirano,
Hidenao Abe,
Hideaki Nakakuni,
Eisuke Hanada:
Clinical Decision Support Based on Mobile Telecommunication Systems.
Web Intelligence 2005: 700-703 |
| 33 | | Shoji Hirano,
Shusaku Tsumoto:
Rough representation of a region of interest in medical images.
Int. J. Approx. Reasoning 40(1-2): 23-34 (2005) |
| 32 | | Shusaku Tsumoto,
Shoji Hirano:
Automated discovery of chronological patterns in long time-series medical datasets.
Int. J. Intell. Syst. 20(7): 737-757 (2005) |
| 2004 |
|---|
| 31 | | Shoji Hirano,
Shusaku Tsumoto:
Cluster analysis of long time-series medical datasets.
Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 13-20 |
| 30 | | Shusaku Tsumoto,
Shoji Hirano:
A Comparative Study of Clustering Methods for Long Time-Series Medical Databases.
MDAI 2004: 260-272 |
| 29 | | Shoji Hirano,
Shusaku Tsumoto:
Finding Interesting Pass Patterns from Soccer Game Records.
PKDD 2004: 209-218 |
| 28 | | Shoji Hirano,
Shusaku Tsumoto:
On the Degree of Independence of a Contingency Matrix.
Rough Sets and Current Trends in Computing 2004: 219-228 |
| 27 | | Shoji Hirano,
Shusaku Tsumoto:
Detection of Differences between Syntactic and Semantic Similarities.
Rough Sets and Current Trends in Computing 2004: 529-538 |
| 26 | | Shoji Hirano,
Xiaoguang Sun,
Shusaku Tsumoto:
Comparison of clustering methods for clinical databases.
Inf. Sci. 159(2): 155-165 (2004) |
| 2003 |
|---|
| 25 | | Shoji Hirano,
Shusaku Tsumoto:
Empirical Comparison of Clustering Methods for Long Time-Series Databases.
Active Mining 2003: 268-286 |
| 24 | | Shusaku Tsumoto,
Shoji Hirano,
Eisuke Hanada:
Internet-based Decision Support: Towards E-Hospital.
COMPSAC 2003: 595-600 |
| 23 | | Shusaku Tsumoto,
Shoji Hirano:
Visualization of Rule's Similarity using Multidimensional Scaling.
ICDM 2003: 339-346 |
| 22 | | Shusaku Tsumoto,
Shoji Hirano:
Pattern Discovery based on Rule Induction and Taxonomy Generation.
ICDM 2003: 661-664 |
| 21 | | Shoji Hirano,
Shusaku Tsumoto:
Indiscernibility-Based Clustering: Rough Clustering.
IFSA 2003: 378-386 |
| 20 | | Shoji Hirano,
Shusaku Tsumoto:
Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching.
ISMIS 2003: 454-462 |
| 19 | | Shoji Hirano,
Shusaku Tsumoto:
Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach.
PAKDD 2003: 513-518 |
| 18 | | Shoji Hirano,
Shusaku Tsumoto:
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations.
PKDD 2003: 192-203 |
| 17 | | Shoji Hirano,
Shusaku Tsumoto:
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-.
JACIII 7(2): 169-177 (2003) |
| 2002 |
|---|
| 16 | | Shoji Hirano,
Xiaoguang Sun,
Shusaku Tsumoto:
On Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases.
COMPSAC 2002: 1170-1175 |
| 15 | | Shoji Hirano,
Shusaku Tsumoto:
Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine.
ICDM 2002: 219-226 |
| 14 | | Shusaku Tsumoto,
Shoji Hirano,
Akira Yasuda,
Kouhei Tsumoto:
Analysis of Amino Acid Sequences by Statistical Technique.
JCIS 2002: 1169-1173 |
| 13 | | Shoji Hirano,
Shusaku Tsumoto:
Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases.
PKDD 2002: 188-199 |
| 12 | | 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 |
| 11 | | Shusaku Tsumoto,
Shoji Hirano,
Akira Yasuda,
Kouhei Tsumoto:
Analysis of amino-acid sequences by statistical technique.
Inf. Sci. 145(3-4): 205-214 (2002) |
| 2001 |
|---|
| 10 | | Shoji Hirano,
Shusaku Tsumoto:
A Knowledge-Oriented Clustering Technique Based on Rough Sets.
COMPSAC 2001: 632-637 |
| 9 | | 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 |
| 8 | | Shoji Hirano,
Shusaku Tsumoto:
Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure.
ICDM 2001: 211-217 |
| 7 | | Shusaku Tsumoto,
Shoji Hirano,
Masahiro Inuiguchi:
Workshop on Rough Set Theory and Granular Computing - Summary.
JSAI Workshops 2001: 239 |
| 6 | | 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 |
| 5 | | 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 |
| 4 | | Shoji Hirano,
Yutaka Hata:
Fuzzy expert system for foot CT image segmentation.
Image Vision Comput. 19(4): 207-216 (2001) |
| 2000 |
|---|
| 3 | | Yutaka Hata,
Syoji Kobashi,
Shoji Hirano,
H. Kitagaki,
E. Mori:
Automated segmentation of human brain MR images aided by fuzzy information granulation and fuzzy inference.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 30(3): 381- (2000) |
| 2 | | Shoji Hirano,
Naotake Kamiura,
Nobuyuki Matsui,
Yutaka Hata:
Hippocampus Extraction Based on Parallel Multiscale Structure Matching.
IJPRAI 14(4): 427-439 (2000) |
| 1997 |
|---|
| 1 | | Shoji Hirano,
Naotake Kamiura,
Yutaka Hata,
Makoto Ishikawa:
MAGNET: An Active Ditch Extraction Model.
ICIP (2) 1997: 124-127 |
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