Shusaku Tsumoto - researchr alias

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2011

2010

Discovering Research Key Terms as Temporal Patterns of Importance Indices for Text MiningHidenao Abe, Shusaku Tsumoto. kes 2010: 297-306 [doi]

Text Categorization with Considering Temporal Patterns of Term UsagesHidenao Abe, Shusaku Tsumoto. icdm 2010: 800-807 [doi]

Mining Temporal Patterns of Technical Term Usages in Bibliographical DataHidenao Abe, Shusaku Tsumoto. ifip12 2010: 130-138 [doi]

Trend detection from large text dataHidenao Abe, Shusaku Tsumoto. SMC 2010: 310-315 [doi]

Analysis of Research Keys as Tempral Patterns of Technical Term Usages in Bibliographical DataHidenao Abe, Shusaku Tsumoto. amt 2010: 150-157 [doi]

Hierarchical, Granular Representation of Non-metric Proximity DataShoji Hirano, Shusaku Tsumoto. grc 2010: 217-222 [doi]

Representation of Granularity for Non-Euclidian Relational Data by Jaccard Coefficients and Binary ClassificationsShoji Hirano, Shusaku Tsumoto. rsctc 2010: 721-729 [doi]

Multiscale Comparison and Clustering of Three-Dimensional Trajectories Based on Curvature MaximaShoji Hirano, Shusaku Tsumoto. ijitdm, 9(6):889-904, 2010. [doi]

Curvature Maxima-based Trajectories MiningShoji Hirano, Shusaku Tsumoto. icdm 2010: 257-264 [doi]

Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to MedicineShoji Hirano, Shusaku Tsumoto. sbp 2010: 128-137 [doi]

Some Remarks on the Concept of Approximations from the View of Knowledge EngineeringTsau Young Lin, Rushin Barot, Shusaku Tsumoto. ijcini, 4(2):1-11, 2010. [doi]

Transactions on Rough Sets XIIJames F. Peters, Andrzej Skowron, Roman Slowinski, Pawan Lingras, Duoqian Miao, Shusaku Tsumoto, editors, Volume 6190 of Lecture Notes in Computer Science, Springer, 2010. [doi]

Information Granules of Statistical Dependence in Multiway Contingency TablesShusaku Tsumoto, Shoji Hirano. grc 2010: 483-488 [doi]

Geometrical and Combinatorial Nature of Pearson ResidualsShusaku Tsumoto, Shoji Hirano. grc 2010: 489-494 [doi]

Three dimensional trajectories miningShusaku Tsumoto, Shoji Hirano. SMC 2010: 500-505 [doi]

Risk Mining in Medicine: Application of Data Mining to Medical Risk ManagementShusaku Tsumoto, Shoji Hirano. FUIN, 98(1):107-121, 2010. [doi]

Towards Data-Oriented Hospital Services: Data Mining-Based Hospital ManagementShusaku Tsumoto, Shoji Hirano, Yuko Tsumoto. icdm 2010: 1076-1083 [doi]

Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple TestingShusaku Tsumoto, Shoji Hirano. icdm 2010: 835-842 [doi]

Likelihood-Based Sampling from Databases for Rule Induction MethodsShusaku Tsumoto, Shoji Hirano, Hidenao Abe. rskt 2010: 265-272 [doi]

Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling MethodsShusaku Tsumoto, Shoji Hirano, Hidenao Abe. ifip12 2010: 139-144 [doi]

Qualitative Simulation Based on Ranked HyperrealsShusaku Tsumoto. grc 2010: 767-771 [doi]

Residual Analysis of Statistical Dependence in Multiway Contingency TablesShusaku Tsumoto, Shoji Hirano. rskt 2010: 273-280 [doi]

2009

Evaluating a method to detect temporal trends of phrases in research documentsHidenao Abe, Shusaku Tsumoto. IEEEicci 2009: 378-383 [doi]

Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection MethodHidenao Abe, Shusaku Tsumoto. rsfdgrc 2009: 502-509 [doi]

Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear RegressionHidenao Abe, Shusaku Tsumoto. ismis 2009: 251-260 [doi]

Detecting Temporal Patterns of Importance Indices about Technical PhrasesHidenao Abe, Shusaku Tsumoto. kes 2009: 252-258 [doi]

Detection of trends of technical phrases in text miningHidenao Abe, Shusaku Tsumoto. grc 2009: 7-12 [doi]

Detecting Temporal Patterns of Technical Phrases by using Importance Indices in a Research DocumentsHidenao Abe, Shusaku Tsumoto. SMC 2009: 2959-2964 [doi]

Investigating Accuracies of Classifications for Randomized Imbalanced Class DistributionsHidenao Abe, Shusaku Tsumoto. FUIN, 90(4):369-378, 2009. [doi]

A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single IndicesHidenao Abe, Shusaku Tsumoto. rskt 2009: 160-167 [doi]

Detecting Similarity of Transferring Datasets Based on Features of Classification RulesHidenao Abe, Shusaku Tsumoto. icdm 2009: 412-415 [doi]

Evaluating Learning Algorithms Composed by a Constructive Meta-learning Scheme for a Rule Evaluation Support MethodHidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. In Djamel A. Zighed, Shusaku Tsumoto, Zbigniew W. Ras, Hakim Hacid, editors, Mining Complex Data. Volume 165 of Studies in Computational Intelligence, pages 95-111, Springer, 2009. [doi]

New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected PapersSanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi, editors, Volume 5433 of Lecture Notes in Computer Science, Springer, 2009. [doi]

Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary StepShoji Hirano, Shusaku Tsumoto. rsfdgrc 2009: 361-368 [doi]

Contingency Matrix Theory II: Degree of Dependence as GranularityShusaku Tsumoto, Shoji Hirano. FUIN, 90(4):427-442, 2009. [doi]

Contingency matrix theory: Statistical dependence in a contingency tableShusaku Tsumoto. isci, 179(11):1615-1627, 2009. [doi]

Multivariate statistical independence and contingency tablesShusaku Tsumoto, Shoji Hirano, Hidenao Abe. grc 2009: 544-548 [doi]

Pearson Residuals in Multi-way Contingency TablesShusaku Tsumoto, Shoji Hirano, Hidenao Abe. SMC 2009: 2531-2536 [doi]

Distribution of Derminants of Contingency TablesShusaku Tsumoto. SMC 2009: 2537-2542 [doi]

Statistical Independence and Determinants in a Contingency Table - Interpretation of Pearson Residuals based on Linear Algebra -Shusaku Tsumoto, Shoji Hirano. FUIN, 90(3):251-267, 2009. [doi]

Evaluation of a Classification Rule Mining Algorithm Based on Secondary DifferencesShusaku Tsumoto, Hidenao Abe. kes 2009: 24-31 [doi]

Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I)Yingxu Wang, Du Zhang, Shusaku Tsumoto. FUIN, 90(3), 2009. [doi]

Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II)Yingxu Wang, Du Zhang, Shusaku Tsumoto. FUIN, 90(4), 2009. [doi]

Rough Sets and Knowledge Technology, 4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009. ProceedingsPeng Wen, Yuefeng Li, Lech Polkowski, Yiyu Yao, Shusaku Tsumoto, Guoyin Wang, editors, Volume 5589 of Lecture Notes in Computer Science, Springer, 2009. [doi]

Mining Complex DataDjamel A. Zighed, Shusaku Tsumoto, Zbigniew W. Ras, Hakim Hacid, editors, Volume 165 of Studies in Computational Intelligence, Springer, 2009.

2008

Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation IndicesHidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. In Shuichi Iwata, Yukio Ohsawa, Shusaku Tsumoto, Ning Zhong, Yong Shi, Lorenzo Magnani, editors, Communications and Discoveries from Multidisciplinary Data. Volume 123 of Studies in Computational Intelligence, pages 269-282, Springer, 2008. [doi]

Finding Functional Groups of Objective Rule Evaluation Indices Using PCAHidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. pakm 2008: 197-206 [doi]

Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation CoefficientHidenao Abe, Shusaku Tsumoto. kes 2008: 758-765 [doi]

Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification RulesHidenao Abe, Shusaku Tsumoto. rskt 2008: 467-474 [doi]

Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule SetsHidenao Abe, Shusaku Tsumoto. icdm 2008: 1-7 [doi]

Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation CoefficientHidenao Abe, Shusaku Tsumoto. ismis 2008: 84-89 [doi]

Investigating Accuracies of Rule Evaluation Models on Randomized Labeling and Human EvaluationHidenao Abe, Shusaku Tsumoto. grc 2008: 95-100 [doi]

Implementing a Rule Generation Method Based on Secondary Differences of Two CriteriaHidenao Abe, Shusaku Tsumoto. rsctc 2008: 293-298 [doi]

Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-LevelShoji Hirano, Shusaku Tsumoto. rskt 2008: 332-339 [doi]

Detection of Risk Factors as Temporal Data MiningShoji Hirano, Shusaku Tsumoto. pakdd 2009: 143-156 [doi]

Discovery of Clusters from Proximity Data: An Approach Using Iterative Adjustment of Binary ClassificationsShoji Hirano, Shusaku Tsumoto. In Shuichi Iwata, Yukio Ohsawa, Shusaku Tsumoto, Ning Zhong, Yong Shi, Lorenzo Magnani, editors, Communications and Discoveries from Multidisciplinary Data. Volume 123 of Studies in Computational Intelligence, pages 251-268, Springer, 2008. [doi]

Hierarchical Clustering of Asymmetric Proximity Data based on the Indiscernibility-levelShoji Hirano, Shusaku Tsumoto. grc 2008: 275-280 [doi]

Communications and Discoveries from Multidisciplinary DataShuichi Iwata, Yukio Ohsawa, Shusaku Tsumoto, Ning Zhong, Yong Shi, Lorenzo Magnani, editors, Volume 123 of Studies in Computational Intelligence, Springer, 2008. [doi]

Qualitative fuzzy sets and granularityTsau Young Lin, Shusaku Tsumoto. IEEEicci 2008: 435-440 [doi]

Mining Complex Data, ECML/PKDD 2007 Third International Workshop, MCD 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected PapersZbigniew W. Ras, Shusaku Tsumoto, Djamel A. Zighed, editors, Volume 4944 of Lecture Notes in Computer Science, 2008.

On Pseudo-Statistical Independence in a Contingency TableShusaku Tsumoto. In Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau, editors, Data Mining: Foundations and Practice. Volume 118 of Studies in Computational Intelligence, pages 387-403, Springer, 2008. [doi]

Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency TableShusaku Tsumoto, Shoji Hirano. tcos, 2:161-179, 2008. [doi]

Role of Sample Size and Determinants in Granularity of Contingency MatrixShusaku Tsumoto. In Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau, editors, Data Mining: Foundations and Practice. Volume 118 of Studies in Computational Intelligence, pages 405-421, Springer, 2008. [doi]

Risk Mining for Infection ControlShusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama. In Shuichi Iwata, Yukio Ohsawa, Shusaku Tsumoto, Ning Zhong, Yong Shi, Lorenzo Magnani, editors, Communications and Discoveries from Multidisciplinary Data. Volume 123 of Studies in Computational Intelligence, pages 283-297, Springer, 2008. [doi]

Statistical independence in three-variables contingency cubeShusaku Tsumoto, Shoji Hirano. IEEEicci 2008: 468-474 [doi]

Statistical Independence and Contingency MatrixShusaku Tsumoto, Shoji Hirano. icdm 2008: 643-648 [doi]

Fuzziness from attribute generalization in information tableShusaku Tsumoto, Shoji Hirano. IEEEicci 2008: 455-461 [doi]

Decomposition of Pearson Residuals of Three-variables Contingency CubeShusaku Tsumoto, Shoji Hirano. grc 2008: 61-66 [doi]

Statistical Independence of Multi-variables from the Viewpoint of Linear AlgebraShusaku Tsumoto, Shoji Hirano. rsctc 2008: 103-112 [doi]

Mining Trajectories of Laboratory Data using Multiscale Matching and ClusteringShusaku Tsumoto, Shoji Hirano. cbms 2008: 626-631 [doi]

Hospital Management Based on Data MiningShusaku Tsumoto, Shoji Hirano. isda 2008: 257-262 [doi]

2007

Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation IndicesHidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. datascience, 6:285-296, 2007. [doi]

Evaluating learning algorithms for a rule evaluation support methodHidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. SMC 2007: 3784-3789 [doi]

Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction PhasesHidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi. grc 2007: 458-464 [doi]

Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation IndicesHidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. IEEEicci 2007: 212-221 [doi]

Evaluating Learning Models with Transitions of Human Interests Based on Objective Rule Evaluation IndicesHidenao Abe, Hideto Yokoi, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. medinfo 2007: 581-585 [doi]

Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective IndicesHidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. kes 2007: 934-941 [doi]

Discovery of Risky Cases in Chronic Diseases: An Approach Using Trajectory GroupingShoji Hirano, Shusaku Tsumoto. jsai 2008: 289-302 [doi]

Dealing with granularity on non-euclidean relational data based on indiscernibility levelShoji Hirano, Shusaku Tsumoto. SMC 2007: 3772-3777 [doi]

Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory ExaminationsShoji Hirano, Shusaku Tsumoto. icdm 2007: 151-156 [doi]

Trajectory Analysis of Laboratory Tests as Medical Complex Data MiningShoji Hirano, Shusaku Tsumoto. ecml 2008: 27-41 [doi]

Mining Rules for Risk Factors on Blood Stream Infection in Hospital Information SystemKimiko Matsuoka, Shigeki Yokoyama, Kunitomo Watanabe, Shusaku Tsumoto. bibm 2007: 181-187 [doi]

Data Mining Analysis of Relationship Between Blood Stream Infection and Clinical Background in Patients Undergoing Lactobacillus TherapyKimiko Matsuoka, Shigeki Yokoyama, Kunitomo Watanabe, Shusaku Tsumoto. jsai 2008: 277-288 [doi]

Evaluation of rule interestingness measures in medical knowledge discovery in databasesMiho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi. artmed, 41(3):177-196, 2007. [doi]

Contingency matrix theoryShusaku Tsumoto, Shoji Hirano. SMC 2007: 3778-3783 [doi]

Medical Reasoning and Rough SetsShusaku Tsumoto. rseisp 2007: 90-100 [doi]

Charcteristics of Pearson Residuals in a Contingency MatrixShusaku Tsumoto, Shoji Hirano. IEEEicci 2007: 195-204 [doi]

Meaning of Pearson Residuals - Linear Algebra ViewShusaku Tsumoto, Shoji Hirano. grc 2007: 465-470 [doi]

Attribute Generalization and Fuzziness in Data Mining ContextsShusaku Tsumoto. rsfdgrc 2007: 379-386 [doi]

Detection of interesting rules using visualization of differences between rules syntactic and semantic similarities using multidimensional scalingShusaku Tsumoto, Shoji Hirano. kes, 11(5):345-354, 2007. [doi]

Visualization of Differences between Rules Syntactic and Semantic Similarities using Multidimensional ScalingShusaku Tsumoto, Shoji Hirano. FUIN, 78(4):561-573, 2007. [doi]

Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional ScalingShusaku Tsumoto, Shoji Hirano. kes 2007: 978-986 [doi]

Mining Diagnostic Taxonomy and Diagnostic Rules for Multi-Stage Medical Diagnosis from Hospital Clinical DataShusaku Tsumoto. grc 2007: 611-616 [doi]

International Workshop on Risk Informatics (RI2007)Takashi Washio, Shusaku Tsumoto. jsai 2008: 245-246 [doi]

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