 | 2009 |
|---|
| 205 |       | Djamel A. Zighed,
Shusaku Tsumoto,
Zbigniew W. Ras,
Hakim Hacid:
Mining Complex Data
Springer 2009 |
| 204 |  | Sanjay Chawla,
Takashi Washio,
Shin-ichi Minato,
Shusaku Tsumoto,
Takashi Onoda,
Seiji Yamada,
Akihiro Inokuchi:
New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers
Springer 2009 |
| 203 | | Peng Wen,
Yuefeng Li,
Lech Polkowski,
Yiyu Yao,
Shusaku Tsumoto,
Guoyin Wang:
Rough Sets and Knowledge Technology, 4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009. Proceedings
Springer 2009 |
| 202 | | Hidenao Abe,
Shusaku Tsumoto:
Detecting Similarity of Transferring Datasets Based on Features of Classification Rules.
ICDM Workshops 2009: 412-415 |
| 201 | | Hidenao Abe,
Shusaku Tsumoto:
Evaluating a method to detect temporal trends of phrases in research documents.
IEEE ICCI 2009: 378-383 |
| 200 | | Hidenao Abe,
Shusaku Tsumoto:
Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression.
ISMIS 2009: 251-260 |
| 199 | | Shusaku Tsumoto,
Hidenao Abe:
Evaluation of a Classification Rule Mining Algorithm Based on Secondary Differences.
KES (2) 2009: 24-31 |
| 198 | | Hidenao Abe,
Shusaku Tsumoto:
Detecting Temporal Patterns of Importance Indices about Technical Phrases.
KES (2) 2009: 252-258 |
| 197 | | Shoji Hirano,
Shusaku Tsumoto:
Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step.
RSFDGrC 2009: 361-368 |
| 196 | | Hidenao Abe,
Shusaku Tsumoto:
Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method.
RSFDGrC 2009: 502-509 |
| 195 | | Hidenao Abe,
Shusaku Tsumoto:
A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single Indices.
RSKT 2009: 160-167 |
| 194 | | Shusaku Tsumoto,
Shoji Hirano:
Dependency and Granularity inData.
Encyclopedia of Complexity and Systems Science 2009: 1864-1872 |
| 193 | | Shusaku Tsumoto:
Rough Set Data Analysis.
Encyclopedia of Complexity and Systems Science 2009: 7742-7753 |
| 192 | | 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 |
| 191 | | Yingxu Wang,
Du Zhang,
Shusaku Tsumoto:
Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I).
Fundam. Inform. 90(3): (2009) |
| 190 | | 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) |
| 189 | | Hidenao Abe,
Shusaku Tsumoto:
Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions.
Fundam. Inform. 90(4): 369-378 (2009) |
| 188 | | Shusaku Tsumoto,
Shoji Hirano:
Contingency Matrix Theory II: Degree of Dependence as Granularity.
Fundam. Inform. 90(4): 427-442 (2009) |
| 187 | | Yingxu Wang,
Du Zhang,
Shusaku Tsumoto:
Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II).
Fundam. Inform. 90(4): (2009) |
| 186 | | Shusaku Tsumoto:
Contingency matrix theory: Statistical dependence in a contingency table.
Inf. Sci. 179(11): 1615-1627 (2009) |
| 2008 |
|---|
| 185 | | Zbigniew W. Ras,
Shusaku Tsumoto,
Djamel A. Zighed:
Mining Complex Data, ECML/PKDD 2007 Third International Workshop, MCD 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers
MCD 2008 |
| 184 | | Shuichi Iwata,
Yukio Ohsawa,
Shusaku Tsumoto,
Ning Zhong,
Yong Shi,
Lorenzo Magnani:
Communications and Discoveries from Multidisciplinary Data
Springer 2008 |
| 183 | | Shusaku Tsumoto,
Shoji Hirano:
Mining Trajectories of Laboratory Data using Multiscale Matching and Clustering.
CBMS 2008: 626-631 |
| 182 | | Hidenao Abe,
Shusaku Tsumoto:
Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets.
ICDM Workshops 2008: 1-7 |
| 181 | | Shusaku Tsumoto,
Shoji Hirano:
Statistical Independence and Contingency Matrix.
ICDM Workshops 2008: 643-648 |
| 180 | | Tsau Young Lin,
Shusaku Tsumoto:
Qualitative fuzzy sets and granularity.
IEEE ICCI 2008: 435-440 |
| 179 | | Shusaku Tsumoto,
Shoji Hirano:
Fuzziness from attribute generalization in information table.
IEEE ICCI 2008: 455-461 |
| 178 | | Shusaku Tsumoto,
Shoji Hirano:
Statistical independence in three-variables contingency cube.
IEEE ICCI 2008: 468-474 |
| 177 | | Shusaku Tsumoto,
Shoji Hirano:
Hospital Management Based on Data Mining.
ISDA (3) 2008: 257-262 |
| 176 | | Hidenao Abe,
Shusaku Tsumoto:
Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient.
ISMIS 2008: 84-89 |
| 175 | | Hidenao Abe,
Shusaku Tsumoto:
Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient.
KES (2) 2008: 758-765 |
| 174 | | Shoji Hirano,
Shusaku Tsumoto:
Detection of Risk Factors as Temporal Data Mining.
PAKDD Workshops 2008: 143-156 |
| 173 | | Hidenao Abe,
Shusaku Tsumoto,
Miho Ohsaki,
Takahira Yamaguchi:
Finding Functional Groups of Objective Rule Evaluation Indices Using PCA.
PAKM 2008: 197-206 |
| 172 | | Shusaku Tsumoto,
Shoji Hirano:
Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra.
RSCTC 2008: 103-112 |
| 171 | | Hidenao Abe,
Shusaku Tsumoto:
Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria.
RSCTC 2008: 293-298 |
| 170 | | Shoji Hirano,
Shusaku Tsumoto:
Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-Level.
RSKT 2008: 332-339 |
| 169 | | Hidenao Abe,
Shusaku Tsumoto:
Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules.
RSKT 2008: 467-474 |
| 168 | | 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 |
| 167 | | 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 |
| 166 | | Shusaku Tsumoto,
Kimiko Matsuoka,
Shigeki Yokoyama:
Risk Mining for Infection Control.
Communications and Discoveries from Multidisciplinary Data 2008: 283-297 |
| 165 | | Shusaku Tsumoto:
On Pseudo-Statistical Independence in a Contingency Table.
Data Mining: Foundations and Practice 2008: 387-403 |
| 164 | | Shusaku Tsumoto:
Role of Sample Size and Determinants in Granularity of Contingency Matrix.
Data Mining: Foundations and Practice 2008: 405-421 |
| 163 | | 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 |
|---|
| 162 | | 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 |
| 161 | | 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 |
| 160 | | Shusaku Tsumoto,
Shoji Hirano:
Meaning of Pearson Residuals - Linear Algebra View.
GrC 2007: 465-470 |
| 159 | | Shusaku Tsumoto:
Mining Diagnostic Taxonomy and Diagnostic Rules for Multi-Stage Medical Diagnosis from Hospital Clinical Data.
GrC 2007: 611-616 |
| 158 | | 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 |
| 157 | | 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 |
| 156 | | Shusaku Tsumoto,
Shoji Hirano:
Charcteristics of Pearson Residuals in a Contingency Matrix.
IEEE ICCI 2007: 195-204 |
| 155 | | 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 |
| 154 | | Takashi Washio,
Shusaku Tsumoto:
International Workshop on Risk Informatics (RI2007).
JSAI 2007: 245-246 |
| 153 | | 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 |
| 152 | | Shoji Hirano,
Shusaku Tsumoto:
Discovery of Risky Cases in Chronic Diseases: An Approach Using Trajectory Grouping.
JSAI 2007: 289-302 |
| 151 | | 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 |
| 150 | | Shusaku Tsumoto,
Shoji Hirano:
Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling.
KES (2) 2007: 978-986 |
| 149 | | Shoji Hirano,
Shusaku Tsumoto:
Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining.
MCD 2007: 27-41 |
| 148 | | 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 |
| 147 | | Shusaku Tsumoto:
Medical Reasoning and Rough Sets.
RSEISP 2007: 90-100 |
| 146 | | Shusaku Tsumoto:
Attribute Generalization and Fuzziness in Data Mining Contexts.
RSFDGrC 2007: 379-386 |
| 145 | | Shoji Hirano,
Shusaku Tsumoto:
Dealing with granularity on non-euclidean relational data based on indiscernibility level.
SMC 2007: 3772-3777 |
| 144 | | Shusaku Tsumoto,
Shoji Hirano:
Contingency matrix theory.
SMC 2007: 3778-3783 |
| 143 | | Hidenao Abe,
Shusaku Tsumoto,
Miho Ohsaki,
Takahira Yamaguchi:
Evaluating learning algorithms for a rule evaluation support method.
SMC 2007: 3784-3789 |
| 142 | | 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) |
| 141 | | 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) |
| 140 | | Shusaku Tsumoto,
Shoji Hirano:
Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling.
Fundam. Inform. 78(4): 561-573 (2007) |
| 139 | | 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 |
|---|
| 138 | | Yukio Ohsawa,
Shusaku Tsumoto:
Chance Discoveries in Real World Decision Making: Data-based Interaction of Human Intelligence and Artificial Intelligence
Springer 2006 |
| 137 | | Achim G. Hoffmann,
Byeong Ho Kang,
Debbie Richards,
Shusaku Tsumoto:
Advances in Knowledge Acquisition and Management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers
Springer 2006 |
| 136 | | Shusaku Tsumoto:
Data Structure and Algorithm in Data Mining: Granular Computing View.
COMPSAC (1) 2006: 26-27 |
| 135 | | Shoji Hirano,
Shusaku Tsumoto:
Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques.
ICDM 2006: 896-901 |
| 134 | | 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 |
| 133 | | Shusaku Tsumoto,
Shoji Hirano:
Residual Matrix and Statistical Independence in a Contingency Table.
ICDM Workshops 2006: 433-437 |
| 132 | | Shusaku Tsumoto,
Kimiko Matsuoka,
Shigeki Yokoyama:
Risk Mining in Hospital Information Systems.
ICDM Workshops 2006: 699-704 |
| 131 | | 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 |
| 130 | | 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 |
| 129 | | Shoji Hirano,
Shusaku Tsumoto:
Characteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations.
ISMIS 2006: 454-462 |
| 128 | | Shusaku Tsumoto,
Takashi Washio:
Risk Mining - Overview.
JSAI 2006: 303-304 |
| 127 | | 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 |
| 126 | | Hidenao Abe,
Shusaku Tsumoto,
Miho Ohsaki,
Takahira Yamaguchi:
Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices.
PAKDD 2006: 509-519 |
| 125 | | 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 |
| 124 | | Shusaku Tsumoto:
Pawlak Rough Set Model, Medical Reasoning and Rule Mining.
RSCTC 2006: 53-70 |
| 123 | | Shusaku Tsumoto,
Shoji Hirano:
Distribution of Determinants of Contingency Matrix.
RSCTC 2006: 567-576 |
| 122 | | Shusaku Tsumoto,
Shoji Hirano:
Interpretation of Contingency Matrix Using Marginal Distributions.
RSCTC 2006: 577-586 |
| 121 | | 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 |
| 120 | | 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 |
| 119 | | Shoji Hirano,
Shusaku Tsumoto:
A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering.
RSCTC 2006: 872-881 |
| 118 | | Hidenao Abe,
Shusaku Tsumoto,
Miho Ohsaki,
Takahira Yamaguchi:
Developing a Rule Evaluation Support Method Based on Objective Indices.
RSKT 2006: 456-461 |
| 117 | | Shusaku Tsumoto,
Yuko Tsumoto,
Kimiko Matsuoka,
Shigeki Yokoyama:
Risk Mining in Medicine: Application of Data Mining to Medical Risk Management.
WImBI 2006: 471-493 |
| 116 | | Yuko Tsumoto,
Shusaku Tsumoto:
Mining Hospital Management Data using R.
Chance Discoveries in Real World Decision Making 2006: 393-404 |
| 115 | | Shusaku Tsumoto:
Statistical Independence as Linear Dependence in a Contingency Table.
Foundations and Novel Approaches in Data Mining 2006: 61-73 |
| 2005 |
|---|
| 114 | | Shusaku Tsumoto,
Takahira Yamaguchi,
Masayuki Numao,
Hiroshi Motoda:
Active Mining, Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers
Springer 2005 |
| 113 | | Mohand-Said Hacid,
Neil V. Murray,
Zbigniew W. Ras,
Shusaku Tsumoto:
Foundations of Intelligent Systems, 15th International Symposium, ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings
Springer 2005 |
| 112 | | Tsau Young Lin,
Setsuo Ohsuga,
Churn-Jung Liau,
Xiaohua Hu,
Shusaku Tsumoto:
Foundations of Data Mining and knowledge Discovery
Springer 2005 |
| 111 | | Shoji Hirano,
Shusaku Tsumoto:
An indiscernibility-based clustering method.
GrC 2005: 468-473 |
| 110 | | Shusaku Tsumoto,
Shoji Hirano:
Degree of Dependence as Granularity in a Contingency Table.
GrC 2005: 63-69 |
| 109 | | Shusaku Tsumoto,
Shoji Hirano:
Linear independence in a contingency table.
GrC 2005: 646-651 |
| 108 | | 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 |
| 107 | | Shoji Hirano,
Shusaku Tsumoto:
Grouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering.
HIS 2005: 399-404 |
| 106 | | 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 |
| 105 | | Shusaku Tsumoto,
Shoji Hirano:
Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling.
ISMIS 2005: 38-46 |
| 104 | | Shusaku Tsumoto:
Statistical Independence from the Viewpoint of Linear Algebra.
ISMIS 2005: 56-64 |
| 103 | | Shoji Hirano,
Shusaku Tsumoto:
Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching.
ISMIS 2005: 612-621 |
| 102 | | Shoji Hirano,
Shusaku Tsumoto:
On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering.
JSAI Workshops 2005: 5-16 |
| 101 | | Shusaku Tsumoto,
Shoji Hirano:
On Degree of Dependence Based on Contingency Matrix.
RSFDGrC (1) 2005: 471-480 |
| 100 | | Shoji Hirano,
Shusaku Tsumoto:
A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records.
RSFDGrC (1) 2005: 612-621 |
| 99 | | Shoji Hirano,
Shusaku Tsumoto:
A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster.
SAINT Workshops 2005: 344-347 |
| 98 | | Shusaku Tsumoto,
Shoji Hirano,
Hidenao Abe,
Hideaki Nakakuni,
Eisuke Hanada:
Clinical Decision Support Based on Mobile Telecommunication Systems.
Web Intelligence 2005: 700-703 |
| 97 | | Shusaku Tsumoto:
On Statistical Independence in a Contingency Table.
Foundations of Data Mining and knowledge Discovery 2005: 131-141 |
| 96 | | Shoji Hirano,
Shusaku Tsumoto:
Rough representation of a region of interest in medical images.
Int. J. Approx. Reasoning 40(1-2): 23-34 (2005) |
| 95 | | 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 |
|---|
| 94 | | Shusaku Tsumoto,
Roman Slowinski,
Henryk Jan Komorowski,
Jerzy W. Grzymala-Busse:
Rough Sets and Current Trends in Computing, 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings
Springer 2004 |
| 93 | | Shusaku Tsumoto:
Mining Diagnostic Taxonomy Using Interval-Based Similarity from Clinical Databases.
MDAI 2004: 115-126 |
| 92 | | Shusaku Tsumoto,
Shoji Hirano:
A Comparative Study of Clustering Methods for Long Time-Series Medical Databases.
MDAI 2004: 260-272 |
| 91 | | Shoji Hirano,
Shusaku Tsumoto:
Finding Interesting Pass Patterns from Soccer Game Records.
PKDD 2004: 209-218 |
| 90 | | Shoji Hirano,
Shusaku Tsumoto:
On the Degree of Independence of a Contingency Matrix.
Rough Sets and Current Trends in Computing 2004: 219-228 |
| 89 | | Shoji Hirano,
Shusaku Tsumoto:
Detection of Differences between Syntactic and Semantic Similarities.
Rough Sets and Current Trends in Computing 2004: 529-538 |
| 88 | | Shusaku Tsumoto:
Extraction of Structure of Medical Diagnosis from Clinical Data.
Fundam. Inform. 59(2-3): 271-285 (2004) |
| 87 | | Shoji Hirano,
Xiaoguang Sun,
Shusaku Tsumoto:
Comparison of clustering methods for clinical databases.
Inf. Sci. 159(2): 155-165 (2004) |
| 86 | | Shusaku Tsumoto:
Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model.
Inf. Sci. 162(2): 65-80 (2004) |
| 2003 |
|---|
| 85 | | 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 |
| 84 | | Shusaku Tsumoto,
Takahira Yamaguchi,
Masayuki Numao,
Hiroshi Motoda:
Active Mining Project: Overview.
Active Mining 2003: 1-10 |
| 83 | | Shoji Hirano,
Shusaku Tsumoto:
Empirical Comparison of Clustering Methods for Long Time-Series Databases.
Active Mining 2003: 268-286 |
| 82 | | Shusaku Tsumoto,
Shoji Hirano,
Eisuke Hanada:
Internet-based Decision Support: Towards E-Hospital.
COMPSAC 2003: 595-600 |
| 81 | | Shusaku Tsumoto,
Shoji Hirano:
Visualization of Rule's Similarity using Multidimensional Scaling.
ICDM 2003: 339-346 |
| 80 | | Shusaku Tsumoto,
Shoji Hirano:
Pattern Discovery based on Rule Induction and Taxonomy Generation.
ICDM 2003: 661-664 |
| 79 | | Shusaku Tsumoto:
Mining Multi-level Diagnostic Process Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model.
IFSA 2003: 362-369 |
| 78 | | Shoji Hirano,
Shusaku Tsumoto:
Indiscernibility-Based Clustering: Rough Clustering.
IFSA 2003: 378-386 |
| 77 | | Shusaku Tsumoto:
Mining Diagnostic Rules with Taxonomy from Medical Databases.
ISMIS 2003: 40-48 |
| 76 | | Shoji Hirano,
Shusaku Tsumoto:
Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching.
ISMIS 2003: 454-462 |
| 75 | | Shoji Hirano,
Shusaku Tsumoto:
Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach.
PAKDD 2003: 513-518 |
| 74 | | Shoji Hirano,
Shusaku Tsumoto:
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations.
PKDD 2003: 192-203 |
| 73 | | Shusaku Tsumoto:
Mining Rules of Multi-level Diagnostic Procedure from Databases.
PKDD 2003: 459-470 |
| 72 | | Shusaku Tsumoto:
Characteristics of Accuracy and Coverage in Rule Induction.
RSFDGrC 2003: 237-244 |
| 71 | | Shusaku Tsumoto:
Linear Independence in Contingency Table.
RSFDGrC 2003: 316-319 |
| 70 | | Shusaku Tsumoto:
Extracting Structure of Medical Diagnosis: Rough Set Approach.
RSFDGrC 2003: 78-88 |
| 69 | | Shusaku Tsumoto:
Web based medical decision support system: application of internet to telemedicine.
SAINT Workshops 2003: 288-293 |
| 68 | | Shusaku Tsumoto:
Web Based Medical Decision Support System for Neurological Diseases.
Web Intelligence 2003: 629-632 |
| 67 | | Shusaku Tsumoto:
Rough Set Based Automatic Classification of Musical Instrument Sounds.
Electr. Notes Theor. Comput. Sci. 82(4): (2003) |
| 66 | | Shusaku Tsumoto:
Statistical Independence as Linear Independence.
Electr. Notes Theor. Comput. Sci. 82(4): (2003) |
| 65 | | Shusaku Tsumoto:
Automated extraction of hierarchical decision rules from clinical databases using rough set model.
Expert Syst. Appl. 24(2): 189-197 (2003) |
| 64 | | Shoji Hirano,
Shusaku Tsumoto:
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-.
JACIII 7(2): 169-177 (2003) |
| 63 | | Shusaku Tsumoto:
Chance Discovery in Medicine - Detection of Rare Risky Events in Chronic Diseases.
New Generation Comput. 21(2): (2003) |
| 2002 |
|---|
| 62 | | Shusaku Tsumoto,
Tsau Young Lin,
James F. Peters:
Foundations of Data Mining via Granular and Rough Computing.
COMPSAC 2002: 1123-1124 |
| 61 | | Shoji Hirano,
Xiaoguang Sun,
Shusaku Tsumoto:
On Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases.
COMPSAC 2002: 1170-1175 |
| 60 | | Shusaku Tsumoto:
Rule and Matroid Theory.
COMPSAC 2002: 1176-1181 |
| 59 | | Shoji Hirano,
Shusaku Tsumoto:
Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine.
ICDM 2002: 219-226 |
| 58 | | Shusaku Tsumoto:
Automated Discovery of Decision Rule Chains Using Rough Sets and Medical Diagnostic Model.
ISMIS 2002: 321-332 |
| 57 | | Shusaku Tsumoto,
Shoji Hirano,
Akira Yasuda,
Kouhei Tsumoto:
Analysis of Amino Acid Sequences by Statistical Technique.
JCIS 2002: 1169-1173 |
| 56 | | Shoji Hirano,
Shusaku Tsumoto:
Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases.
PKDD 2002: 188-199 |
| 55 | | Shusaku Tsumoto:
Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets aaand Medical Diagnostic Model.
PKDD 2002: 423-434 |
| 54 | | Shusaku Tsumoto:
Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets.
Progress in Discovery Science 2002: 543-552 |
| 53 | | Shusaku Tsumoto:
Accuracy and Coverage in Rough Set Rule Induction.
Rough Sets and Current Trends in Computing 2002: 373-380 |
| 52 | | Shusaku Tsumoto:
Statistical Test for Rough Set Approximation Based on Fisher's Exact Test.
Rough Sets and Current Trends in Computing 2002: 381-388 |
| 51 | | 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 |
| 50 | | 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 |
|---|
| 49 | | 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 |
| 48 | | Shoji Hirano,
Shusaku Tsumoto:
A Knowledge-Oriented Clustering Technique Based on Rough Sets.
COMPSAC 2001: 632-637 |
| 47 | | 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 |
| 46 | | Shusaku Tsumoto:
Medical Diagnostic Rules As Upper Approximation of Rough Sets.
FUZZ-IEEE 2001: 1551-1554 |
| 45 | | Shoji Hirano,
Shusaku Tsumoto:
Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure.
ICDM 2001: 211-217 |
| 44 | | Shusaku Tsumoto,
Shoji Hirano,
Masahiro Inuiguchi:
Workshop on Rough Set Theory and Granular Computing - Summary.
JSAI Workshops 2001: 239 |
| 43 | | 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 |
| 42 | | 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 |
| 41 | | Shusaku Tsumoto:
Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction.
PKDD 2001: 448-459 |
| 40 | | Shusaku Tsumoto:
Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model.
PKDD 2001: 460-471 |
| 2000 |
|---|
| 39 | | Shusaku Tsumoto:
Problems with Mining Medical Data.
COMPSAC 2000: 467-468 |
| 38 | | Shusaku Tsumoto:
Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies.
ISMIS 2000: 573-581 |
| 37 | | Einoshin Suzuki,
Shusaku Tsumoto:
Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets.
PAKDD 2000: 208-211 |
| 36 | | Andrzej Skowron,
Jaroslaw Stepaniuk,
Shusaku Tsumoto:
Information Granules for Spatial Reasoning.
PAKDD 2000: 380-383 |
| 35 | | Shusaku Tsumoto:
Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies.
PKDD 2000: 652-656 |
| 34 | | Shusaku Tsumoto:
An Approach to Statistical Extention of Rough Set Rule Induction.
Rough Sets and Current Trends in Computing 2000: 362-369 |
| 33 | | Shusaku Tsumoto:
Diagnostic Reasoning from the Viewpoint of Rough Sets.
Rough Sets and Current Trends in Computing 2000: 495-502 |
| 32 | | Shusaku Tsumoto:
Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic.
Inf. Sci. 124(1-4): 125-137 (2000) |
| 1999 |
|---|
| 31 | | Shusaku Tsumoto:
Knowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics.
ISMIS 1999: 349-357 |
| 30 | | Shusaku Tsumoto:
Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion.
PAKDD 1999: 210-219 |
| 29 | | Shusaku Tsumoto:
Rule Discovery in Databases with Missing Values Based on Rough Set Model.
PAKDD 1999: 274-278 |
| 28 | | Shusaku Tsumoto:
Knowledge Discovery in Medical Multi-databases: A Rough Set Approach.
PKDD 1999: 147-155 |
| 27 | | Shusaku Tsumoto:
Rule Discovery in Large Time-Series Medical Databases.
PKDD 1999: 23-31 |
| 26 | | Shinsuke Sugaya,
Einoshin Suzuki,
Shusaku Tsumoto:
Support Vector Machines for Knowledge Discovery.
PKDD 1999: 561-567 |
| 25 | | Shusaku Tsumoto,
Tsau Young Lin:
Context-Free Fuzzy Sets in Data Mining Context.
RSFDGrC 1999: 212-220 |
| 24 | | Shusaku Tsumoto:
Discovery of Rules about Compilations - A Rough Set Approach in Medical Knowledge Discovery.
RSFDGrC 1999: 29-37 |
| 1998 |
|---|
| 23 | | Shusaku Tsumoto:
Discovery of Approximate Medical Knowledge Based on Rough Set Model.
PKDD 1998: 468-476 |
| 22 | | Shusaku Tsumoto:
Modelling Medical Diagnostic Rules Based on Rough Sets.
Rough Sets and Current Trends in Computing 1998: 475-482 |
| 21 | | Shusaku Tsumoto:
Automated Extraction of Medical Expert System Rules from Clinical Databases on Rough Set Theory.
Inf. Sci. 112(1-4): 67-84 (1998) |
| 20 | | Shusaku Tsumoto:
Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model.
Intell. Data Anal. 2(1-4): 215-227 (1998) |
| 1997 |
|---|
| 19 | | Shusaku Tsumoto:
Induction of Positive and Negative Deterministic Rules based on Rough Set Model.
ISMIS 1997: 298-307 |
| 18 | | Shusaku Tsumoto:
Extraction of Experts' Decision Process from Clinical Databases Using Rough Set Model.
PKDD 1997: 58-67 |
| 1996 |
|---|
| 17 | | Shusaku Tsumoto,
Hiroshi Tanaka:
Induction of Expert System Rules from Databases Based on Rough Set Theory and Resampling Methods.
ISMIS 1996: 128-138 |
| 16 | | Shusaku Tsumoto,
Wojciech Ziarko:
The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis.
ISMIS 1996: 438-447 |
| 15 | | Shusaku Tsumoto,
Hiroshi Tanaka:
Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets.
KDD 1996: 63-69 |
| 14 | | 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) |
| 1995 |
|---|
| 13 | | 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 |
| 12 | | Shusaku Tsumoto,
Hiroshi Tanaka:
Induction of Expert System Rules from Clinical Databases Based on Rough Set Theory and Resampling Methods.
AIME 1995: 399-400 |
| 11 | | 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 |
| 10 | | 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 |
| 9 | | Shusaku Tsumoto,
Hiroshi Tanaka:
Algebraic Formulation of Empirical Learning Methods Based on Rough Sets and Matroid Theory.
WOCFAI 1995: 393-404 |
| 8 | | Shusaku Tsumoto,
Hiroshi Tanaka:
PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods.
Computational Intelligence 11: 389-405 (1995) |
| 7 | | 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) |
| 1994 |
|---|
| 6 | | Shusaku Tsumoto,
Hiroshi Tanaka:
Algebraic Specification of Empirical Inductive Learning Methods based on Rough Sets and Matroid Theory.
AISMC 1994: 224-243 |
| 5 | | Shusaku Tsumoto,
Hiroshi Tanaka:
Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods.
KDD Workshop 1994: 121-132 |
| 1993 |
|---|
| 4 | | Shusaku Tsumoto,
Hiroshi Tanaka:
Induction of Probabilistic Rules Based on Rough Set Theory.
ALT 1993: 410-423 |
| 3 | | Shusaku Tsumoto,
Hiroshi Tanaka:
PRIMEROSE: Probabilistic Rule Induction Method Based on Rough Set Theory.
RSKD 1993: 274-281 |
| 2 | | Shusaku Tsumoto,
Hiroshi Tanaka:
AQ, Rough Sets, and Matroid Theory.
RSKD 1993: 290-297 |
| 1985 |
|---|
| 1 | | 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 |
