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Title:
Author:
Shusaku Tsumoto: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shusaku Tsumoto, Hiroshi Tanaka
    Induction of Expert System Rules from Clinical Databases Based on Rough Set Theory and Resampling Methods. [Citation Graph (0, 0)][DBLP]
    AIME, 1995, pp:399-400 [Conf]
  2. Shusaku Tsumoto, Hiroshi Tanaka, Hiromi Amano, Kimie Ohyama, Takayuki Kuroda
    COBRA: Integration of Knowledge-Bases with Case-Databases in the Domain of Congenital Malformation. [Citation Graph (0, 0)][DBLP]
    AIME, 1995, pp:393-394 [Conf]
  3. Shusaku Tsumoto, Hiroshi Tanaka
    Algebraic Specification of Empirical Inductive Learning Methods based on Rough Sets and Matroid Theory. [Citation Graph (0, 0)][DBLP]
    AISMC, 1994, pp:224-243 [Conf]
  4. Shusaku Tsumoto, Hiroshi Tanaka
    Induction of Probabilistic Rules Based on Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    ALT, 1993, pp:410-423 [Conf]
  5. Shoji Hirano, Shusaku Tsumoto
    Empirical Comparison of Clustering Methods for Long Time-Series Databases. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:268-286 [Conf]
  6. Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda
    Active Mining Project: Overview. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:1-10 [Conf]
  7. Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto
    On Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2002, pp:1170-1175 [Conf]
  8. Shoji Hirano, Shusaku Tsumoto
    A Knowledge-Oriented Clustering Technique Based on Rough Sets. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2001, pp:632-637 [Conf]
  9. Shusaku Tsumoto
    Problems with Mining Medical Data. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2000, pp:467-468 [Conf]
  10. Shusaku Tsumoto
    Rule and Matroid Theory. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2002, pp:1176-1181 [Conf]
  11. Shusaku Tsumoto, Shoji Hirano, Eisuke Hanada
    Internet-based Decision Support: Towards E-Hospital. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2003, pp:595-600 [Conf]
  12. Shusaku Tsumoto, Tsau Young Lin, James F. Peters
    Foundations of Data Mining via Granular and Rough Computing. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2002, pp:1123-1124 [Conf]
  13. Shusaku Tsumoto
    Data Structure and Algorithm in Data Mining: Granular Computing View. [Citation Graph (0, 0)][DBLP]
    COMPSAC (1), 2006, pp:26-27 [Conf]
  14. Shusaku Tsumoto
    Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets. [Citation Graph (0, 0)][DBLP]
    Progress in Discovery Science, 2002, pp:543-552 [Conf]
  15. Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto
    Analysis of Time-series Medical Databases Using Multiscale Structure Matching and Rough Sets-based. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:1547-1550 [Conf]
  16. Shusaku Tsumoto
    Medical Diagnostic Rules As Upper Approximation of Rough Sets. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:1551-1554 [Conf]
  17. 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. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:169-174 [Conf]
  18. Shoji Hirano, Shusaku Tsumoto
    Grouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:399-404 [Conf]
  19. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:549-552 [Conf]
  20. Shoji Hirano, Shusaku Tsumoto
    Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:211-217 [Conf]
  21. Shoji Hirano, Shusaku Tsumoto
    Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:219-226 [Conf]
  22. Shusaku Tsumoto, Shoji Hirano
    Visualization of Rule's Similarity using Multidimensional Scaling. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:339-346 [Conf]
  23. Shusaku Tsumoto, Shoji Hirano
    Pattern Discovery based on Rule Induction and Taxonomy Generation. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:661-664 [Conf]
  24. Shoji Hirano, Shusaku Tsumoto
    Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:896-901 [Conf]
  25. Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama
    Risk Mining in Hospital Information Systems. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:699-704 [Conf]
  26. Shusaku Tsumoto, Shoji Hirano
    Residual Matrix and Statistical Independence in a Contingency Table. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:433-437 [Conf]
  27. Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi
    Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:759-764 [Conf]
  28. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:305-310 [Conf]
  29. Shoji Hirano, Shusaku Tsumoto
    Indiscernibility-Based Clustering: Rough Clustering. [Citation Graph (0, 0)][DBLP]
    IFSA, 2003, pp:378-386 [Conf]
  30. Shusaku Tsumoto
    Mining Multi-level Diagnostic Process Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model. [Citation Graph (0, 0)][DBLP]
    IFSA, 2003, pp:362-369 [Conf]
  31. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:379-388 [Conf]
  32. Shoji Hirano, Shusaku Tsumoto
    Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2003, pp:454-462 [Conf]
  33. Shoji Hirano, Shusaku Tsumoto
    Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:612-621 [Conf]
  34. Shoji Hirano, Shusaku Tsumoto
    Characteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:454-462 [Conf]
  35. Shusaku Tsumoto
    Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2000, pp:573-581 [Conf]
  36. Shusaku Tsumoto
    Automated Discovery of Decision Rule Chains Using Rough Sets and Medical Diagnostic Model. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2002, pp:321-332 [Conf]
  37. Shusaku Tsumoto
    Mining Diagnostic Rules with Taxonomy from Medical Databases. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2003, pp:40-48 [Conf]
  38. Shusaku Tsumoto
    Statistical Independence from the Viewpoint of Linear Algebra. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:56-64 [Conf]
  39. Shusaku Tsumoto
    Induction of Positive and Negative Deterministic Rules based on Rough Set Model. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1997, pp:298-307 [Conf]
  40. Shusaku Tsumoto
    Knowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1999, pp:349-357 [Conf]
  41. Shusaku Tsumoto, Shoji Hirano
    Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:38-46 [Conf]
  42. Shusaku Tsumoto, Hiroshi Tanaka
    Induction of Expert System Rules from Databases Based on Rough Set Theory and Resampling Methods. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:128-138 [Conf]
  43. Shusaku Tsumoto, Wojciech Ziarko
    The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:438-447 [Conf]
  44. Shusaku Tsumoto, Shoji Hirano, Akira Yasuda, Kouhei Tsumoto
    Analysis of Amino Acid Sequences by Statistical Technique. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:1169-1173 [Conf]
  45. Shoji Hirano, Shusaku Tsumoto
    On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2005, pp:5-16 [Conf]
  46. Shoji Hirano, Shusaku Tsumoto, Tomohiro Okuzaki, Yutaka Hata
    A Clustering Method for Nominal and Numerical Data Based on Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2001, pp:400-405 [Conf]
  47. Shusaku Tsumoto, Shoji Hirano, Masahiro Inuiguchi
    Workshop on Rough Set Theory and Granular Computing - Summary. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2001, pp:239- [Conf]
  48. Shusaku Tsumoto, Takashi Washio
    Risk Mining - Overview. [Citation Graph (0, 0)][DBLP]
    JSAI, 2006, pp:303-304 [Conf]
  49. Shusaku Tsumoto, Hiroshi Tanaka
    Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods. [Citation Graph (0, 0)][DBLP]
    KDD Workshop, 1994, pp:121-132 [Conf]
  50. Shusaku Tsumoto, Hiroshi Tanaka
    Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing. [Citation Graph (0, 0)][DBLP]
    KDD, 1995, pp:312-317 [Conf]
  51. Shusaku Tsumoto, Hiroshi Tanaka
    Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation. [Citation Graph (0, 0)][DBLP]
    KDD, 1995, pp:318-324 [Conf]
  52. Shusaku Tsumoto, Hiroshi Tanaka
    Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:63-69 [Conf]
  53. Yasushi Matsumura, Takashi Matsunaga, Yusuke Maeda, Shusaku Tsumoto, Hiroshi Matsumura, Michio Kimura
    Consultation System for Diagnosis of Headache and Facial Pain: "RHINOS". [Citation Graph (0, 0)][DBLP]
    LP, 1985, pp:287-298 [Conf]
  54. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts. [Citation Graph (0, 0)][DBLP]
    MDAI, 2006, pp:93-104 [Conf]
  55. Shusaku Tsumoto
    Mining Diagnostic Taxonomy Using Interval-Based Similarity from Clinical Databases. [Citation Graph (0, 0)][DBLP]
    MDAI, 2004, pp:115-126 [Conf]
  56. Shusaku Tsumoto, Shoji Hirano
    A Comparative Study of Clustering Methods for Long Time-Series Medical Databases. [Citation Graph (0, 0)][DBLP]
    MDAI, 2004, pp:260-272 [Conf]
  57. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:509-519 [Conf]
  58. Shoji Hirano, Tomohiro Okuzaki, Yutaka Hata, Shusaku Tsumoto, Kouhei Tsumoto
    A Rough Set-Based Clustering Method with Modification of Equivalence Relations. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:507-512 [Conf]
  59. Shoji Hirano, Shusaku Tsumoto
    Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:513-518 [Conf]
  60. Andrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto
    Information Granules for Spatial Reasoning. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2000, pp:380-383 [Conf]
  61. Einoshin Suzuki, Shusaku Tsumoto
    Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2000, pp:208-211 [Conf]
  62. Shusaku Tsumoto
    Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:210-219 [Conf]
  63. Shusaku Tsumoto
    Rule Discovery in Databases with Missing Values Based on Rough Set Model. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:274-278 [Conf]
  64. Shoji Hirano, Shusaku Tsumoto
    Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:188-199 [Conf]
  65. Shoji Hirano, Shusaku Tsumoto
    An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:192-203 [Conf]
  66. Shoji Hirano, Shusaku Tsumoto
    Finding Interesting Pass Patterns from Soccer Game Records. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:209-218 [Conf]
  67. Shinsuke Sugaya, Einoshin Suzuki, Shusaku Tsumoto
    Support Vector Machines for Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:561-567 [Conf]
  68. Shusaku Tsumoto
    Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:652-656 [Conf]
  69. Shusaku Tsumoto
    Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:448-459 [Conf]
  70. Shusaku Tsumoto
    Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:460-471 [Conf]
  71. Shusaku Tsumoto
    Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets aaand Medical Diagnostic Model. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:423-434 [Conf]
  72. Shusaku Tsumoto
    Mining Rules of Multi-level Diagnostic Procedure from Databases. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:459-470 [Conf]
  73. Shusaku Tsumoto
    Extraction of Experts' Decision Process from Clinical Databases Using Rough Set Model. [Citation Graph (0, 0)][DBLP]
    PKDD, 1997, pp:58-67 [Conf]
  74. Shusaku Tsumoto
    Discovery of Approximate Medical Knowledge Based on Rough Set Model. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:468-476 [Conf]
  75. Shusaku Tsumoto
    Rule Discovery in Large Time-Series Medical Databases. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:23-31 [Conf]
  76. Shusaku Tsumoto
    Knowledge Discovery in Medical Multi-databases: A Rough Set Approach. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:147-155 [Conf]
  77. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:687-695 [Conf]
  78. Shoji Hirano, Shusaku Tsumoto
    Segmentation of Medical Images Based on Approximations in Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:554-563 [Conf]
  79. Shoji Hirano, Shusaku Tsumoto
    On the Degree of Independence of a Contingency Matrix. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:219-228 [Conf]
  80. Shoji Hirano, Shusaku Tsumoto
    Detection of Differences between Syntactic and Semantic Similarities. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:529-538 [Conf]
  81. Shoji Hirano, Shusaku Tsumoto
    A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:872-881 [Conf]
  82. Shusaku Tsumoto
    An Approach to Statistical Extention of Rough Set Rule Induction. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2000, pp:362-369 [Conf]
  83. Shusaku Tsumoto
    Diagnostic Reasoning from the Viewpoint of Rough Sets. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2000, pp:495-502 [Conf]
  84. Shusaku Tsumoto
    Accuracy and Coverage in Rough Set Rule Induction. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:373-380 [Conf]
  85. Shusaku Tsumoto
    Statistical Test for Rough Set Approximation Based on Fisher's Exact Test. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:381-388 [Conf]
  86. Shusaku Tsumoto
    Pawlak Rough Set Model, Medical Reasoning and Rule Mining. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:53-70 [Conf]
  87. Shusaku Tsumoto
    Modelling Medical Diagnostic Rules Based on Rough Sets. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 1998, pp:475-482 [Conf]
  88. Shusaku Tsumoto, Shoji Hirano
    Distribution of Determinants of Contingency Matrix. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:567-576 [Conf]
  89. Shusaku Tsumoto, Shoji Hirano
    Interpretation of Contingency Matrix Using Marginal Distributions. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:577-586 [Conf]
  90. Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama
    Risk Mining: Mining Nurses' Incident Factors and Application of Mining Results to Prevention of Incidents. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:706-715 [Conf]
  91. Shusaku Tsumoto, Hiroshi Tanaka
    PRIMEROSE: Probabilistic Rule Induction Method Based on Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    RSKD, 1993, pp:274-281 [Conf]
  92. Shusaku Tsumoto, Hiroshi Tanaka
    AQ, Rough Sets, and Matroid Theory. [Citation Graph (0, 0)][DBLP]
    RSKD, 1993, pp:290-297 [Conf]
  93. Shoji Hirano, Shusaku Tsumoto
    A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (1), 2005, pp:612-621 [Conf]
  94. Shusaku Tsumoto
    Extracting Structure of Medical Diagnosis: Rough Set Approach. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:78-88 [Conf]
  95. Shusaku Tsumoto
    Characteristics of Accuracy and Coverage in Rule Induction. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:237-244 [Conf]
  96. Shusaku Tsumoto
    Linear Independence in Contingency Table. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:316-319 [Conf]
  97. Shusaku Tsumoto
    Discovery of Rules about Compilations - A Rough Set Approach in Medical Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 1999, pp:29-37 [Conf]
  98. Shusaku Tsumoto, Shoji Hirano
    On Degree of Dependence Based on Contingency Matrix. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (1), 2005, pp:471-480 [Conf]
  99. Shusaku Tsumoto, Tsau Young Lin
    Context-Free Fuzzy Sets in Data Mining Context. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 1999, pp:212-220 [Conf]
  100. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Developing a Rule Evaluation Support Method Based on Objective Indices. [Citation Graph (0, 0)][DBLP]
    RSKT, 2006, pp:456-461 [Conf]
  101. Shoji Hirano, Shusaku Tsumoto
    A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster. [Citation Graph (0, 0)][DBLP]
    SAINT Workshops, 2005, pp:344-347 [Conf]
  102. Shusaku Tsumoto
    Web based medical decision support system: application of internet to telemedicine. [Citation Graph (0, 0)][DBLP]
    SAINT Workshops, 2003, pp:288-293 [Conf]
  103. Shusaku Tsumoto
    Web Based Medical Decision Support System for Neurological Diseases. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2003, pp:629-632 [Conf]
  104. Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, Hideaki Nakakuni, Eisuke Hanada
    Clinical Decision Support Based on Mobile Telecommunication Systems. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2005, pp:700-703 [Conf]
  105. Shusaku Tsumoto, Hiroshi Tanaka
    Algebraic Formulation of Empirical Learning Methods Based on Rough Sets and Matroid Theory. [Citation Graph (0, 0)][DBLP]
    WOCFAI, 1995, pp:393-404 [Conf]
  106. 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. [Citation Graph (0, 0)][DBLP]
    PKAW, 2006, pp:75-88 [Conf]
  107. Shusaku Tsumoto, Shoji Hirano
    Linear independence in a contingency table. [Citation Graph (0, 0)][DBLP]
    GrC, 2005, pp:646-651 [Conf]
  108. Shusaku Tsumoto, Shoji Hirano
    Degree of Dependence as Granularity in a Contingency Table. [Citation Graph (0, 0)][DBLP]
    GrC, 2005, pp:63-69 [Conf]
  109. Shoji Hirano, Shusaku Tsumoto
    An indiscernibility-based clustering method. [Citation Graph (0, 0)][DBLP]
    GrC, 2005, pp:468-473 [Conf]
  110. Shusaku Tsumoto, Hiroshi Tanaka
    PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1995, v:11, n:, pp:389-405 [Journal]
  111. Shusaku Tsumoto
    Statistical Independence as Linear Independence. [Citation Graph (0, 0)][DBLP]
    Electr. Notes Theor. Comput. Sci., 2003, v:82, n:4, pp:- [Journal]
  112. Shusaku Tsumoto
    Rough Set Based Automatic Classification of Musical Instrument Sounds. [Citation Graph (0, 0)][DBLP]
    Electr. Notes Theor. Comput. Sci., 2003, v:82, n:4, pp:- [Journal]
  113. Shusaku Tsumoto
    Automated extraction of hierarchical decision rules from clinical databases using rough set model. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2003, v:24, n:2, pp:189-197 [Journal]
  114. Shusaku Tsumoto
    Extraction of Structure of Medical Diagnosis from Clinical Data. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2004, v:59, n:2-3, pp:271-285 [Journal]
  115. Shusaku Tsumoto, Hiroshi Tanaka
    A Common Algebraic Framework of Empirical Learning Methods Based on Rough Sets and Matroid Theory. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1996, v:27, n:2/3, pp:273-288 [Journal]
  116. Shusaku Tsumoto
    Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1998, v:2, n:1-4, pp:215-227 [Journal]
  117. Shoji Hirano, Shusaku Tsumoto
    Rough representation of a region of interest in medical images. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2005, v:40, n:1-2, pp:23-34 [Journal]
  118. Shusaku Tsumoto, Hiroshi Tanaka, Hiromi Amano, Kimie Ohyama, Takayuki Kuroda
    COBRA: Integration of Heterogeneous Knowledge-Bases in Medical Domain. [Citation Graph (0, 0)][DBLP]
    Int. J. Cooperative Inf. Syst., 1995, v:4, n:4, pp:387-404 [Journal]
  119. Shusaku Tsumoto, Shoji Hirano
    Automated discovery of chronological patterns in long time-series medical datasets. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2005, v:20, n:7, pp:737-757 [Journal]
  120. Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto
    Comparison of clustering methods for clinical databases. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:159, n:2, pp:155-165 [Journal]
  121. Shusaku Tsumoto
    Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2000, v:124, n:1-4, pp:125-137 [Journal]
  122. Shusaku Tsumoto
    Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:162, n:2, pp:65-80 [Journal]
  123. Shusaku Tsumoto
    Automated Extraction of Medical Expert System Rules from Clinical Databases on Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:112, n:1-4, pp:67-84 [Journal]
  124. Shusaku Tsumoto, Shoji Hirano, Akira Yasuda, Kouhei Tsumoto
    Analysis of amino-acid sequences by statistical technique. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2002, v:145, n:3-4, pp:205-214 [Journal]
  125. Shoji Hirano, Shusaku Tsumoto
    An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-. [Citation Graph (0, 0)][DBLP]
    JACIII, 2003, v:7, n:2, pp:169-177 [Journal]
  126. Shusaku Tsumoto
    Chance Discovery in Medicine - Detection of Rare Risky Events in Chronic Diseases. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 2003, v:21, n:2, pp:- [Journal]
  127. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:934-941 [Conf]
  128. Shusaku Tsumoto, Shoji Hirano
    Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:978-986 [Conf]
  129. Shusaku Tsumoto
    Attribute Generalization and Fuzziness in Data Mining Contexts. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2007, pp:379-386 [Conf]
  130. Shusaku Tsumoto
    Medical Reasoning and Rough Sets. [Citation Graph (0, 0)][DBLP]
    RSEISP, 2007, pp:90-100 [Conf]
  131. Shusaku Tsumoto, Shoji Hirano
    Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2007, v:78, n:4, pp:561-573 [Journal]

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  150. International Workshop on Risk Informatics (RI2007). [Citation Graph (, )][DBLP]


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  170. Detecting Temporal Patterns of Technical Phrases by using Importance Indices in a Research Documents. [Citation Graph (, )][DBLP]


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  186. Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to Medicine. [Citation Graph (, )][DBLP]


  187. Cluster analysis of long time-series medical datasets. [Citation Graph (, )][DBLP]


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  189. Evaluation of rule interestingness measures in medical knowledge discovery in databases. [Citation Graph (, )][DBLP]


  190. Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices. [Citation Graph (, )][DBLP]


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