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Shusaku Tsumoto

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

162

Venues

21

Active years

1993–2025

Best venue rank

A*

Where they publish

Papers

162 indexed papers, newest first.

YearVenueTitleAuthors
2025ICDMAlgebraic Analysis of Rule Mining Space.Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano, Katsutoshi Yada
2024ICDMTemporal Data Mining in AI-based Patient Navigation Service.Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano, Katsutoshi Yada
2024ICDMCovid-19 and Multichannel Customers.Katsutoshi Yada, Tomoya Ikeda, Genki Yoshida, Takahiro Hakozaki, Ken Matsumoto, Shusaku Tsumoto
2020ICDMHow Shoppers Walk and Shop in a Supermarket.Katsutoshi Yada, Ken Ishibashi, Taku Ohashi, Danhua Wang, Shusaku Tsumoto
2019ICDMClinical Pathway Generation from Order Histories and Discharge Summaries.Shoji Hirano, Haruko Iwata, Tomohiro Kimura, Shusaku Tsumoto
2019IFSAGranular Rules for Medical Diagnosis.Shusaku Tsumoto, Shoji Hirano
2018ICDMConstruction of Clinical Pathway Generation from Nursing Records and Discharge Summaries.Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata
2018IPMUEmpirical Comparison of Distances for Agglomerative Hierarchical Clustering.Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano
2018SMCClinical Pathway Generation Based on Hierarchical Clustering and EM Clustering.Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata
2018SMCEmpirical Comparison of Similarities for Agglomerative Hierarchical Clustering.Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, Haruko Iwata
2017ICDMFrequent Temporal Pattern Mining for Medical Data Based on Ranged Relations.Shoji Hirano, Shusaku Tsumoto
2016SMCConstruction of linguistic variables from data and domain knowledge.Shusaku Tsumoto, Shoji Hirano
2015ICDMThe Change of the Structure of Patient Satisfaction by Waiting Time, Length of Stay and Hospital Rebuilding in Japan.Masumi Okuda, Akira Yasuda, Shusaku Tsumoto
2015ICDMRule Mining Based on Nonmonotonic Rule Layers and Its Application to Medicine.Shusaku Tsumoto, Shoji Hirano
2014GRCFormal analysis of cross-validation based on decremental sampling scheme.Shusaku Tsumoto, Shoji Hirano
2014GRCProbabilistic rule induction based on incremental sampling scheme.Shusaku Tsumoto, Shoji Hirano
2014GRCHealthcare IT: Integration of consumer healthcare data and electronic medical records for chronic disease management.Shusaku Tsumoto, Shoji Hirano
2014ICDMVisualization of Patient Distributions in a Hospital Based on the Clinical Actions Stored in EHR.Shoji Hirano, Shusaku Tsumoto
2014ICDMData Mining-Based Service Quality Estimation in Hospital Information System.Toshihiko Kawamura, Tomohiro Kimura, Shusaku Tsumoto
2014ICDMFactors of Patient Satisfaction Based on Distant Analysis in HCAHPS Databases.Masumi Okuda, Akira Yasuda, Shusaku Tsumoto
2014PAKDDMining Typical Order Sequences from EHR for Building Clinical Pathways.Shoji Hirano, Shusaku Tsumoto
2014SMCVisualizing dynamics of patients in hospitals using devise locations.Shoji Hirano, Shusaku Tsumoto
2014SMCFormal analysis of leave-one out method based on decremental sampling scheme.Shusaku Tsumoto, Shoji Hirano
2014SMCHomological analysis of statistical dependence.Shusaku Tsumoto, Shoji Hirano
2013GRCAlgebraic analysis of statistical dependence.Shusaku Tsumoto, Shoji Hirano
2013GRCIncremental induction of medical diagnostic rules.Shusaku Tsumoto, Shoji Hirano
2013ICDMClustering of Order Sequences Based on the Typicalness Index for Finding Clinical Pathway Candidates.Shoji Hirano, Shusaku Tsumoto
2013PAKDDMining Clinical Process in Order Histories Using Sequential Pattern Mining Approach.Shusaku Tsumoto, Hidenao Abe
2013SMCMining Clinical Pathway Candidates from Order History Based on the Clustering of Order Sequences.Shoji Hirano, Shusaku Tsumoto
2013SMCIncremental Induction of Probabilistic Rules Based on Incremental Sampling Scheme.Shusaku Tsumoto, Shoji Hirano
2013SMCMining Clinical Pathway Using Clustering and Rule Induction.Shusaku Tsumoto, Shoji Hirano, Haruko Iwata
2012CBMSTemporal data mining of order entry histories for characterization of medical practice.Shusaku Tsumoto, Shoji Hirano, Haruko Iwata
2012CIKMConstruction and maintenance of clinical pathways using data mining methods.Shusaku Tsumoto, Haruko Iwata, Shoji Hirano
2012GRCDegree of freedom and numbers of subdeterminants in contingency table.Shusaku Tsumoto, Shoji Hirano
2012GRCGeometrical interpretation of pearson residuals.Shusaku Tsumoto, Shoji Hirano
2012GRCVisualization of doctors' behavior using similarity-based methods.Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto
2012ICDMData-Oriented Construction and Maintenance of Clinical Pathway Using Similarity-Based Data Mining Methods.Haruko Iwata, Shusaku Tsumoto, Shoji Hirano
2012ISMISIncremental Rules Induction Method Based on Three Rule Layers.Shusaku Tsumoto, Shoji Hirano
2012SMCTrajectories mining in hospital information systems.Shusaku Tsumoto, Shoji Hirano
2012SMCInformation granules in medical differential diagnosis.Shusaku Tsumoto, Shoji Hirano
2012SMCData-oriented maintenance of clinical pathway using clustering and multidimensional scaling.Shusaku Tsumoto, Shoji Hirano, Haruko Iwata
2011GRCConstructing features for document classification by using temporal patterns of term usages.Hidenao Abe, Shusaku Tsumoto
2011GRCA clustering method for asymmetric proximity data based on bi-links with ε-indiscernibility.Shoji Hirano, Shusaku Tsumoto
2011GRCA new framework for incremental rule induction based on rough sets.Shusaku Tsumoto
2011GRCCombinatorics of pearson residuals and degree of freedom in contingency tables.Shusaku Tsumoto, Shoji Hirano
2011GRCClustering-based analysis in hospital information systems.Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto
2011ICDMVisualization of Hospital Services Using Data Mining Methods.Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto
2011IRIInformation reuse in hospital information systems: A data mining approach.Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto
2011ISMISMining Classification Rules for Detecting Medication Order Changes by Using Characteristic CPOE Subsequences.Hidenao Abe, Shusaku Tsumoto
2011ISMISIncremental Rule Induction Based on Rough Set Theory.Shusaku Tsumoto
2011ISMISData Mining in Meningoencephalitis: The Starting Point of Discovery Challenge.Shusaku Tsumoto, Katsuhiko Takabayashi
2011SMCTemporal data mining in history data of hospital information systems.Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, Yuko Tsumoto
2010GRCHierarchical, Granular Representation of Non-metric Proximity Data.Shoji Hirano, Shusaku Tsumoto
2010GRCQualitative Simulation Based on Ranked Hyperreals.Shusaku Tsumoto
2010GRCInformation Granules of Statistical Dependence in Multiway Contingency Tables.Shusaku Tsumoto, Shoji Hirano
2010GRCGeometrical and Combinatorial Nature of Pearson Residuals.Shusaku Tsumoto, Shoji Hirano
2010ICDMText Categorization with Considering Temporal Patterns of Term Usages.Hidenao Abe, Shusaku Tsumoto
2010ICDMCurvature Maxima-based Trajectories Mining.Shoji Hirano, Shusaku Tsumoto
2010ICDMAutomated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing.Shusaku Tsumoto, Shoji Hirano
2010ICDMTowards Data-Oriented Hospital Services: Data Mining-Based Hospital Management.Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto
2010KESDiscovering Research Key Terms as Temporal Patterns of Importance Indices for Text Mining.Hidenao Abe, Shusaku Tsumoto
2010SMCTrend detection from large text data.Hidenao Abe, Shusaku Tsumoto
2010SMCThree dimensional trajectories mining.Shusaku Tsumoto, Shoji Hirano
2009GRCDetection of trends of technical phrases in text mining.Hidenao Abe, Shusaku Tsumoto
2009GRCMultivariate statistical independence and contingency tables.Shusaku Tsumoto, Shoji Hirano, Hidenao Abe
2009ICDMDetecting Similarity of Transferring Datasets Based on Features of Classification Rules.Hidenao Abe, Shusaku Tsumoto
2009ISMISDetecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression.Hidenao Abe, Shusaku Tsumoto
2009KESDetecting Temporal Patterns of Importance Indices about Technical Phrases.Hidenao Abe, Shusaku Tsumoto
2009KESEvaluation of a Classification Rule Mining Algorithm Based on Secondary Differences.Shusaku Tsumoto, Hidenao Abe
2009SMCDetecting Temporal Patterns of Technical Phrases by using Importance Indices in a Research Documents.Hidenao Abe, Shusaku Tsumoto
2009SMCDistribution of Derminants of Contingency Tables.Shusaku Tsumoto
2009SMCPearson Residuals in Multi-way Contingency Tables.Shusaku Tsumoto, Shoji Hirano, Hidenao Abe
2008CBMSMining Trajectories of Laboratory Data using Multiscale Matching and Clustering.Shusaku Tsumoto, Shoji Hirano
2008GRCInvestigating Accuracies of Rule Evaluation Models on Randomized Labeling and Human Evaluation.Hidenao Abe, Shusaku Tsumoto
2008GRCHierarchical Clustering of Asymmetric Proximity Data based on the Indiscernibility-level.Shoji Hirano, Shusaku Tsumoto
2008GRCDecomposition of Pearson Residuals of Three-variables Contingency Cube.Shusaku Tsumoto, Shoji Hirano
2008ICDMComparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets.Hidenao Abe, Shusaku Tsumoto
2008ICDMStatistical Independence and Contingency Matrix.Shusaku Tsumoto, Shoji Hirano
2008ISDAHospital Management Based on Data Mining.Shusaku Tsumoto, Shoji Hirano
2008ISMISAnalyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient.Hidenao Abe, Shusaku Tsumoto
2008KESAnalyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient.Hidenao Abe, Shusaku Tsumoto
2008PAKDDDetection of Risk Factors as Temporal Data Mining.Shoji Hirano, Shusaku Tsumoto
2008SMCStatistical dependence in contingency data cube.Shusaku Tsumoto, Shoji Hirano
2007AMIACluster Analysis of Trajectory Data on Hospital Laboratory Examinations.Shoji Hirano, Shusaku Tsumoto
2007GRCEvaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases.Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi
2007GRCMining Diagnostic Taxonomy and Diagnostic Rules for Multi-Stage Medical Diagnosis from Hospital Clinical Data.Shusaku Tsumoto
2007GRCMeaning of Pearson Residuals - Linear Algebra View.Shusaku Tsumoto, Shoji Hirano
2007ICDMIdentifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations.Shoji Hirano, Shusaku Tsumoto
2007ICDMAnalysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining.Kimiko Matsuoka, Shigeki Yokoyama, Kumitomo Watanabe, Shusaku Tsumoto
2007KESEvaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices.Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
2007KESVisualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling.Shusaku Tsumoto, Shoji Hirano
2007SMCEvaluating learning algorithms for a rule evaluation support method.Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
2007SMCDealing with granularity on non-euclidean relational data based on indiscernibility level.Shoji Hirano, Shusaku Tsumoto
2007SMCContingency matrix theory.Shusaku Tsumoto, Shoji Hirano
2006COMPSACData Structure and Algorithm in Data Mining: Granular Computing View.Shusaku Tsumoto
2006GRCAnalysis of sample size effect on dependency of contingency matrix.Shusaku Tsumoto, Shoji Hirano
2006GRCCharacterization of contextual independence of contingency matrix.Shusaku Tsumoto, Shoji Hirano
2006ICDMEvaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method.Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
2006ICDMCluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques.Shoji Hirano, Shusaku Tsumoto
2006ICDMProposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures.Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi
2006ICDMResidual Matrix and Statistical Independence in a Contingency Table.Shusaku Tsumoto, Shoji Hirano
2006ICDMRisk Mining in Hospital Information Systems.Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama
2006ISMISEvaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices.Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
2006ISMISCharacteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations.Shoji Hirano, Shusaku Tsumoto
2006MDAIEvaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts.Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
2006PAKDDEvaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices.Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
2006PKAWEvaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices.Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi
2006SMCOn the Nature of Degree of Indiscerniblity for Rough Clustering.Shoji Hirano, Shusaku Tsumoto
2006SMCMeaning of Marginal Distributions in a Contingency Table.Shusaku Tsumoto, Shoji Hirano
2006SMCRisk Mining in Hospital Information Systems.Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama
2005GRCAn indiscernibility-based clustering method.Shoji Hirano, Shusaku Tsumoto
2005GRCDegree of Dependence as Granularity in a Contingency Table.Shusaku Tsumoto, Shoji Hirano
2005GRCLinear independence in a contingency table.Shusaku Tsumoto, Shoji Hirano
2005HISEvaluating a Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indices - A Case Study with a Meningitis Data Mining Result.Hidenao Abe, Miho Ohsaki, Shusaku Tsumoto, Takahira Yamaguchi
2005HISGrouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering.Shoji Hirano, Shusaku Tsumoto
2005ICDMA Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes.Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
2005ISMISClustering Time-Series Medical Databases Based on the Improved Multiscale Matching.Shoji Hirano, Shusaku Tsumoto
2005ISMISStatistical Independence from the Viewpoint of Linear Algebra.Shusaku Tsumoto
2005ISMISVisualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling.Shusaku Tsumoto, Shoji Hirano
2005SMCStrucutural Comparison and Cluster Analysis of Time-Series Medical Data.Shoji Hirano, Shusaku Tsumoto
2005SMCVisualization of differences between rules' syntactic and semantic similarities.Shusaku Tsumoto
2004MDAIMining Diagnostic Taxonomy Using Interval-Based Similarity from Clinical Databases.Shusaku Tsumoto
2004MDAIA Comparative Study of Clustering Methods for Long Time-Series Medical Databases.Shusaku Tsumoto, Shoji Hirano
2003AMIAMultiscale Analysis of Long Time-series Medical Databases.Shoji Hirano, Shusaku Tsumoto
2003COMPSACInternet-based Decision Support: Towards E-Hospital.Shusaku Tsumoto, Shoji Hirano, Eisuke Hanada
2003ICDMVisualization of Rule's Similarity using Multidimensional Scaling.Shusaku Tsumoto, Shoji Hirano
2003ICDMPattern Discovery based on Rule Induction and Taxonomy Generation.Shusaku Tsumoto, Shoji Hirano
2003IFSAIndiscernibility-Based Clustering: Rough Clustering.Shoji Hirano, Shusaku Tsumoto
2003IFSAMining Multi-level Diagnostic Process Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model.Shusaku Tsumoto
2003ISMISEmpirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching.Shoji Hirano, Shusaku Tsumoto
2003ISMISMining Diagnostic Rules with Taxonomy from Medical Databases.Shusaku Tsumoto
2003PAKDDDealing with Relative Similarity in Clustering: An Indiscernibility Based Approach.Shoji Hirano, Shusaku Tsumoto
2003SMCExtracting diagnostic taxonomy using rough sets.Shusaku Tsumoto
2002AMIAMining Interesting Patterns in Time-series Medical Databases: A Hybrid Approach of Multiscale Matching and Rough Clustering.Shoji Hirano, Shusaku Tsumoto
2002COMPSACOn Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases.Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto
2002COMPSACRule and Matroid Theory.Shusaku Tsumoto
2002COMPSACFoundations of Data Mining via Granular and Rough Computing.Shusaku Tsumoto, Tsau Young Lin, James F. Peters
2002ICDMMining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine.Shoji Hirano, Shusaku Tsumoto
2002ISMISAutomated Discovery of Decision Rule Chains Using Rough Sets and Medical Diagnostic Model.Shusaku Tsumoto
2001COMPSACA Knowledge-Oriented Clustering Technique Based on Rough Sets.Shoji Hirano, Shusaku Tsumoto
2001ICDMIndiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure.Shoji Hirano, Shusaku Tsumoto
2001PAKDDA Rough Set-Based Clustering Method with Modification of Equivalence Relations.Shoji Hirano, Tomohiro Okuzaki, Yutaka Hata, Shusaku Tsumoto, Kouhei Tsumoto
2000COMPSACProblems with Mining Medical Data.Shusaku Tsumoto
2000ISMISDiscovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies.Shusaku Tsumoto
2000PAKDDInformation Granules for Spatial Reasoning.Andrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto
2000PAKDDEvaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets.Einoshin Suzuki, Shusaku Tsumoto
1999ISMISKnowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics.Shusaku Tsumoto
1999PAKDDAutomated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion.Shusaku Tsumoto
1999PAKDDRule Discovery in Databases with Missing Values Based on Rough Set Model.Shusaku Tsumoto
1998AMIAAutomated knowledge acquisition from clinical databases based on rough sets and attribute-oriented generalization.Shusaku Tsumoto
1997AMIAIncremental learning of probabilistic rules from clinical databases based on rough set theory.Shusaku Tsumoto, Hiroshi Tanaka
1997ISMISInduction of Positive and Negative Deterministic Rules based on Rough Set Model.Shusaku Tsumoto
1996ISMISInduction of Expert System Rules from Databases Based on Rough Set Theory and Resampling Methods.Shusaku Tsumoto, Hiroshi Tanaka
1996ISMISThe Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis.Shusaku Tsumoto, Wojciech Ziarko
1996KDDAutomated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets.Shusaku Tsumoto, Hiroshi Tanaka
1995AIMEInduction of Expert System Rules from Clinical Databases Based on Rough Set Theory and Resampling Methods.Shusaku Tsumoto, Hiroshi Tanaka
1995AIMECOBRA: Integration of Knowledge-Bases with Case-Databases in the Domain of Congenital Malformation.Shusaku Tsumoto, Hiroshi Tanaka, Hiromi Amano, Kimie Ohyama, Takayuki Kuroda
1995KDDAutomated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing.Shusaku Tsumoto, Hiroshi Tanaka
1995KDDAutomated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation.Shusaku Tsumoto, Hiroshi Tanaka
1994AISCAlgebraic Specification of Empirical Inductive Learning Methods based on Rough Sets and Matroid Theory.Shusaku Tsumoto, Hiroshi Tanaka
1994KDDSelection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods.Shusaku Tsumoto, Hiroshi Tanaka
1993ALTInduction of Probabilistic Rules Based on Rough Set Theory.Shusaku Tsumoto, Hiroshi Tanaka