Welcome to D
SIGMOD 2003
PODS 2003
SIGMOD-RECOR
ADBIS
CIDR 2003
CIKM 2003
DASFAA 2003
Data Enginee
DEBS
DMKD 2003
DOLAP 2003
DPDJ 2003
ER
GIS 2003
Hypertext 20
ICDE 2003
ICDM 2003
ICDT 2003
JCDL 2003
KRDB 2003
MIR 2003
MIS 2003
MMDB 2003
RIDE 2003
SBBD 2003
SIGIR 2003
SIGIR-FORUM
SIGKDD 2003
SIGKDD-EXP
SSDBM 2003
TIME 2003
TODS
VLDB 2003
VLDB Journal
WIDM 2003
About DiSC 2
Editorial Bo
Acknowledgem
DiSC 2004 Pr
ADVIS
DiSC'04 Feed
DiSC'04 Site
Search DiSC'
<<<Author Index>>>
Copyright No

Shusaku Tsumoto

Papers on DiSC'04


s Similarity using Multidimensional Scaling

Pattern Discovery based on Rule Induction and Taxonomy Generation

Publications


Note: Links lead to the DBLP on the Web.

Shusaku Tsumoto

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 Springer 2003

Shusaku Tsumoto, Shoji Hirano , Eisuke Hanada : Internet-based Decision Support: Towards E-Hospital. COMPSAC 2003 : 595-600

Shusaku Tsumoto, Shoji Hirano : Visualization of Rule's Similarity using Multidimensional Scaling. ICDM 2003 : 339-346

Shusaku Tsumoto, Shoji Hirano : Pattern Discovery based on Rule Induction and Taxonomy Generation. ICDM 2003 : 661-664

Shusaku Tsumoto: Mining Multi-level Diagnostic Process Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model. IFSA 2003 : 362-369

Shoji Hirano , Shusaku Tsumoto: Indiscernibility-Based Clustering: Rough Clustering. IFSA 2003 : 378-386

Shusaku Tsumoto: Mining Diagnostic Rules with Taxonomy from Medical Databases. ISMIS 2003 : 40-48

Shoji Hirano , Shusaku Tsumoto: Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching. ISMIS 2003 : 454-462

Shoji Hirano , Shusaku Tsumoto: Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach. PAKDD 2003 : 513-518

Shoji Hirano , Shusaku Tsumoto: An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations. PKDD 2003 : 192-203

Shusaku Tsumoto: Mining Rules of Multi-level Diagnostic Procedure from Databases. PKDD 2003 : 459-470

Shusaku Tsumoto: Characteristics of Accuracy and Coverage in Rule Induction. RSFDGrC 2003 : 237-244

Shusaku Tsumoto: Linear Independence in Contingency Table. RSFDGrC 2003 : 316-319

Shusaku Tsumoto: Extracting Structure of Medical Diagnosis: Rough Set Approach. RSFDGrC 2003 : 78-88

Shusaku Tsumoto: Web based medical decision support system: application of internet to telemedicine. SAINT Workshops 2003 : 288-293

Shusaku Tsumoto: Web Based Medical Decision Support System for Neurological Diseases. Web Intelligence 2003 : 629-632

Shusaku Tsumoto: Rough Set Based Automatic Classification of Musical Instrument Sounds. Electr. Notes Theor. Comput. Sci. 82 (4): (2003)

Shusaku Tsumoto: Statistical Independence as Linear Independence. Electr. Notes Theor. Comput. Sci. 82 (4): (2003)

Shusaku Tsumoto, Tsau Young Lin , James F. Peters : Foundations of Data Mining via Granular and Rough Computing. COMPSAC 2002 : 1123-1124

Shoji Hirano , Xiaoguang Sun , Shusaku Tsumoto: On Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases. COMPSAC 2002 : 1170-1175

Shusaku Tsumoto: Rule and Matroid Theory. COMPSAC 2002 : 1176-1181

Shoji Hirano , Shusaku Tsumoto: Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine. ICDM 2002 : 219-226

Shusaku Tsumoto: Automated Discovery of Decision Rule Chains Using Rough Sets and Medical Diagnostic Model. ISMIS 2002 : 321-332

Shusaku Tsumoto, Shoji Hirano , Akira Yasuda , Kouhei Tsumoto : Analysis of Amino Acid Sequences by Statistical Technique. JCIS 2002 : 1169-1173

Shoji Hirano , Shusaku Tsumoto: Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases. PKDD 2002 : 188-199

Shusaku Tsumoto: Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets aaand Medical Diagnostic Model. PKDD 2002 : 423-434

Shusaku Tsumoto: Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets. Progress in Discovery Science 2002 : 543-552

Shusaku Tsumoto: Accuracy and Coverage in Rough Set Rule Induction. Rough Sets and Current Trends in Computing 2002 : 373-380

Shusaku Tsumoto: Statistical Test for Rough Set Approximation Based on Fisher's Exact Test. Rough Sets and Current Trends in Computing 2002 : 381-388

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

Shusaku Tsumoto, Shoji Hirano , Akira Yasuda , Kouhei Tsumoto : Analysis of amino-acid sequences by statistical technique. Inf. Sci. 145 (3-4): 205-214 (2002)

Takao Terano , Toyoaki Nishida , Akira Namatame , Shusaku Tsumoto, Yukio Ohsawa , Takashi Washio : New Frontiers in Artificial Intelligence, Joint JSAI 2001 Workshop Post-Proceedings Springer 2001

Shoji Hirano , Shusaku Tsumoto: A Knowledge-Oriented Clustering Technique Based on Rough Sets. COMPSAC 2001 : 632-637

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

Shusaku Tsumoto: Medical Diagnostic Rules As Upper Approximation of Rough Sets. FUZZ-IEEE 2001 : 1551-1554

Shoji Hirano , Shusaku Tsumoto: Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure. ICDM 2001 : 211-217

Shusaku Tsumoto, Shoji Hirano , Masahiro Inuiguchi : Workshop on Rough Set Theory and Granular Computing - Summary. JSAI Workshops 2001 : 239

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

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

Shusaku Tsumoto: Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction. PKDD 2001 : 448-459

Shusaku Tsumoto: Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model. PKDD 2001 : 460-471

Shusaku Tsumoto: Problems with Mining Medical Data. COMPSAC 2000 : 467-468

Shusaku Tsumoto: Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies. ISMIS 2000 : 573-581

Einoshin Suzuki , Shusaku Tsumoto: Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. PAKDD 2000 : 208-211

Andrzej Skowron , Jaroslaw Stepaniuk , Shusaku Tsumoto: Information Granules for Spatial Reasoning. PAKDD 2000 : 380-383

Shusaku Tsumoto: Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies. PKDD 2000 : 652-656

Shusaku Tsumoto: An Approach to Statistical Extention of Rough Set Rule Induction. Rough Sets and Current Trends in Computing 2000 : 362-369

Shusaku Tsumoto: Diagnostic Reasoning from the Viewpoint of Rough Sets. Rough Sets and Current Trends in Computing 2000 : 495-502

Shusaku Tsumoto: Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic. Inf. Sci. 124 (1-4): 125-137 (2000)

Shusaku Tsumoto: Knowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics. ISMIS 1999 : 349-357

Shusaku Tsumoto: Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion. PAKDD 1999 : 210-219

Shusaku Tsumoto: Rule Discovery in Databases with Missing Values Based on Rough Set Model. PAKDD 1999 : 274-278

Shusaku Tsumoto: Knowledge Discovery in Medical Multi-databases: A Rough Set Approach. PKDD 1999 : 147-155

Shusaku Tsumoto: Rule Discovery in Large Time-Series Medical Databases. PKDD 1999 : 23-31

Shinsuke Sugaya , Einoshin Suzuki , Shusaku Tsumoto: Support Vector Machines for Knowledge Discovery. PKDD 1999 : 561-567

Shusaku Tsumoto, Tsau Young Lin : Context-Free Fuzzy Sets in Data Mining Context. RSFDGrC 1999 : 212-220

Shusaku Tsumoto: Discovery of Rules about Compilations - A Rough Set Approach in Medical Knowledge Discovery. RSFDGrC 1999 : 29-37

Shusaku Tsumoto: Discovery of Approximate Medical Knowledge Based on Rough Set Model. PKDD 1998 : 468-476

Shusaku Tsumoto: Modelling Medical Diagnostic Rules Based on Rough Sets. Rough Sets and Current Trends in Computing 1998 : 475-482

Shusaku Tsumoto: Automated Extraction of Medical Expert System Rules from Clinical Databases on Rough Set Theory. Inf. Sci. 112 (1-4): 67-84 (1998)

Shusaku Tsumoto: Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model. Intell. Data Anal. 2 (1-4): 215-227 (1998)

Shusaku Tsumoto: Induction of Positive and Negative Deterministic Rules based on Rough Set Model. ISMIS 1997 : 298-307

Shusaku Tsumoto: Extraction of Experts' Decision Process from Clinical Databases Using Rough Set Model. PKDD 1997 : 58-67

Shusaku Tsumoto, Hiroshi Tanaka : Induction of Expert System Rules from Databases Based on Rough Set Theory and Resampling Methods. ISMIS 1996 : 128-138

Shusaku Tsumoto, Wojciech Ziarko : The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis. ISMIS 1996 : 438-447

Shusaku Tsumoto, Hiroshi Tanaka : Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets. KDD 1996 : 63-69

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)

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

Shusaku Tsumoto, Hiroshi Tanaka : Induction of Expert System Rules from Clinical Databases Based on Rough Set Theory and Resampling Methods. AIME 1995 : 399-400

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

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

Shusaku Tsumoto, Hiroshi Tanaka : Algebraic Formulation of Empirical Learning Methods Based on Rough Sets and Matroid Theory. WOCFAI 1995 : 393-404

Shusaku Tsumoto, Hiroshi Tanaka : PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods. Computational Intelligence 11 : 389-405 (1995)

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)

Shusaku Tsumoto, Hiroshi Tanaka : Algebraic Specification of Empirical Inductive Learning Methods based on Rough Sets and Matroid Theory. AISMC 1994 : 224-243

Shusaku Tsumoto, Hiroshi Tanaka : Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods. KDD Workshop 1994 : 121-132

Shusaku Tsumoto, Hiroshi Tanaka : Induction of Probabilistic Rules Based on Rough Set Theory. ALT 1993 : 410-423

Shusaku Tsumoto, Hiroshi Tanaka : PRIMEROSE: Probabilistic Rule Induction Method Based on Rough Set Theory. RSKD 1993 : 274-281

Shusaku Tsumoto, Hiroshi Tanaka : AQ, Rough Sets, and Matroid Theory. RSKD 1993 : 290-297

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

1 [ 7 ] [ 13 ]

2 [ 79 ]

3 [ 42 ] [ 43 ]

4 [ 42 ] [ 43 ] [ 44 ] [ 45 ] [ 47 ] [ 48 ] [ 50 ] [ 51 ] [ 56 ] [ 57 ] [ 59 ] [ 61 ] [ 71 ] [ 72 ] [ 73 ] [ 75 ] [ 77 ] [ 78 ] [ 79 ]

5 [ 44 ]

6 [ 1 ]

7 [ 7 ] [ 13 ]

8 [ 25 ] [ 62 ]

9 [ 1 ]

10 [ 1 ]

11 [ 1 ]

12 [ 1 ]

13 [ 49 ]

14 [ 49 ]

15 [ 49 ]

16 [ 7 ] [ 13 ]

17 [ 42 ] [ 43 ]

18 [ 62 ]

19 [ 80 ]

20 [ 36 ]

21 [ 36 ]

22 [ 26 ]

23 [ 47 ] [ 61 ]

24 [ 26 ] [ 37 ] [ 80 ]

25 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] [ 15 ] [ 17 ]

26 [ 49 ]

27 [ 42 ] [ 50 ] [ 57 ]

28 [ 49 ]

29 [ 50 ] [ 57 ]

30 [ 80 ]

31 [ 16 ]




©2004 Association for Computing Machinery