Consultation System for Diagnosis of Headache and Facial Pain: "RHINOS". - Yasushi Matsumura; Takashi Matsunaga; Yusuke Maeda; Shusaku Tsumoto; Hiroshi Matsumura; Michio Kimura (LP, 1985)

Induction of Probabilistic Rules Based on Rough Set Theory. - Shusaku Tsumoto; Hiroshi Tanaka (ALT, 1993)

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

AQ, Rough Sets, and Matroid Theory. - Shusaku Tsumoto; Hiroshi Tanaka (RSKD, 1993)

Algebraic Specification of Empirical Inductive Learning Methods based on Rough Sets and Matroid Theory. - Shusaku Tsumoto; Hiroshi Tanaka (AISMC, 1994)

Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods. - Shusaku Tsumoto; Hiroshi Tanaka (KDD Workshop, 1994)

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

COBRA: Integration of Knowledge-Bases with Case-Databases in the Domain of Congenital Malformation. - Shusaku Tsumoto; Hiroshi Tanaka; Hiromi Amano; Kimie Ohyama; Takayuki Kuroda (AIME, 1995)

Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing. - Shusaku Tsumoto; Hiroshi Tanaka (KDD, 1995)

Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation. - Shusaku Tsumoto; Hiroshi Tanaka (KDD, 1995)

Algebraic Formulation of Empirical Learning Methods Based on Rough Sets and Matroid Theory. - Shusaku Tsumoto; Hiroshi Tanaka (WOCFAI, 1995)

PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods. - Shusaku Tsumoto; Hiroshi Tanaka (Comput. Intell., 1995)

COBRA: Integration of Heterogeneous Knowledge-Bases in Medical Domain. - Shusaku Tsumoto; Hiroshi Tanaka; Hiromi Amano; Kimie Ohyama; Takayuki Kuroda (Int. J. Cooperative Inf. Syst., 1995)

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

The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis. - Shusaku Tsumoto; Wojciech Ziarko (ISMIS, 1996)

Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets. - Shusaku Tsumoto; Hiroshi Tanaka (KDD, 1996)

A Common Algebraic Framework of Empirical Learning Methods Based on Rough Sets and Matroid Theory. - Shusaku Tsumoto; Hiroshi Tanaka (Fundam. Informaticae, 1996)

Machine Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation. - Shusaku Tsumoto; Hiroshi Tanaka (Intell. Autom. Soft Comput., 1996)

Incremental learning of probabilistic rules from clinical databases based on rough set theory. - Shusaku Tsumoto; Hiroshi Tanaka (AMIA, 1997)

Induction of Positive and Negative Deterministic Rules based on Rough Set Model. - Shusaku Tsumoto (ISMIS, 1997)

Extraction of Experts' Decision Process from Clinical Databases Using Rough Set Model. - Shusaku Tsumoto (PKDD, 1997)

Automated knowledge acquisition from clinical databases based on rough sets and attribute-oriented generalization. - Shusaku Tsumoto (AMIA, 1998)

Automated Acquisition of Rules from Clinical Databases and its Evaluation. - Shusaku Tsumoto; Hiroshi Tanaka (MedInfo, 1998)

Discovery of Approximate Medical Knowledge Based on Rough Set Model. - Shusaku Tsumoto (PKDD, 1998)

Modelling Medical Diagnostic Rules Based on Rough Sets. - Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 1998)

Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model. - Shusaku Tsumoto (Intell. Data Anal., 1998)

Automated Extraction of Medical Expert System Rules from Clinical Databases on Rough Set Theory. - Shusaku Tsumoto (Inf. Sci., 1998)

Knowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics. - Shusaku Tsumoto (ISMIS, 1999)

Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion. - Shusaku Tsumoto (PAKDD, 1999)

Rule Discovery in Databases with Missing Values Based on Rough Set Model. - Shusaku Tsumoto (PAKDD, 1999)

Support Vector Machines for Knowledge Discovery. - Shinsuke Sugaya; Einoshin Suzuki; Shusaku Tsumoto (PKDD, 1999)

Rule Discovery in Large Time-Series Medical Databases. - Shusaku Tsumoto (PKDD, 1999)

Knowledge Discovery in Medical Multi-databases: A Rough Set Approach. - Shusaku Tsumoto (PKDD, 1999)

Discovery of Rules about Compilations - A Rough Set Approach in Medical Knowledge Discovery. - Shusaku Tsumoto (RSFDGrC, 1999)

Context-Free Fuzzy Sets in Data Mining Context. - Shusaku Tsumoto; Tsau Young Lin (RSFDGrC, 1999)

Problems with Mining Medical Data. - Shusaku Tsumoto (COMPSAC, 2000)

Discovery of approximate concepts in clinical databases based on a rough set model. - Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2000)

Fuzzification of attribute-oriented generalization and its application to medicine. - Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2000)

Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies. - Shusaku Tsumoto (ISMIS, 2000)

Information Granules for Spatial Reasoning. - Andrzej Skowron; Jaroslaw Stepaniuk; Shusaku Tsumoto (PAKDD, 2000)

Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. - Einoshin Suzuki; Shusaku Tsumoto (PAKDD, 2000)

Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies. - Shusaku Tsumoto (PKDD, 2000)

An Approach to Statistical Extention of Rough Set Rule Induction. - Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 2000)

Diagnostic Reasoning from the Viewpoint of Rough Sets. - Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 2000)

Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic. - Shusaku Tsumoto (Inf. Sci., 2000)

A Knowledge-Oriented Clustering Technique Based on Rough Sets. - Shoji Hirano; Shusaku Tsumoto (COMPSAC, 2001)

Statistical extension of rough set rule induction. - Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2001)

Medical knowledge discovery in hospital information systems. - Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2001)

Analysis of Time-series Medical Databases Using Multiscale Structure Matching and Rough Sets-based. - Shoji Hirano; Xiaoguang Sun; Shusaku Tsumoto (FUZZ-IEEE, 2001)

Medical Diagnostic Rules As Upper Approximation of Rough Sets. - Shusaku Tsumoto (FUZZ-IEEE, 2001)

Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure. - Shoji Hirano; Shusaku Tsumoto (ICDM, 2001)

A Clustering Method for Nominal and Numerical Data Based on Rough Set Theory. - Shoji Hirano; Shusaku Tsumoto; Tomohiro Okuzaki; Yutaka Hata (JSAI Workshops, 2001)

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

A Clustering Method Based on Rough Sets and Its Application to Knowledge Discovery in the Medical Database. - Shoji Hirano; Shusaku Tsumoto; Tomohiro Okuzaki; Yutaka Hata (MedInfo, 2001)

An Approach to Electronization of Hand-written Patient Records - Scanned Hand-Written Chart. - Masami Nagira; Shusaku Tsumoto (MedInfo, 2001)

A Rough Set-Based Clustering Method with Modification of Equivalence Relations. - Shoji Hirano; Tomohiro Okuzaki; Yutaka Hata; Shusaku Tsumoto; Kouhei Tsumoto (PAKDD, 2001)

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

Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model. - Shusaku Tsumoto (PKDD, 2001)

Mining Interesting Patterns in Time-series Medical Databases: A Hybrid Approach of Multiscale Matching and Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (AMIA, 2002)

On Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases. - Shoji Hirano; Xiaoguang Sun; Shusaku Tsumoto (COMPSAC, 2002)

Rule and Matroid Theory. - Shusaku Tsumoto (COMPSAC, 2002)

Foundations of Data Mining via Granular and Rough Computing. - Shusaku Tsumoto; Tsau Young Lin; James F. Peters (COMPSAC, 2002)

Evaluation of similarity measures for analysis of databases on laboratory examinations. - Xiaoguang Sun; Shoji Hirano; Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2002)

Comparison of induced rules based on likelihood estimation. - Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2002)

Statistical test for rough set approximation. - Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2002)

Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets. - Shusaku Tsumoto (Progress in Discovery Science, 2002)

Dealing with multiple types of expert knowledge in medical image segmentation: a rough sets style approach. - Shoji Hirano; Xiaoguang Sun; Shusaku Tsumoto (FUZZ-IEEE, 2002)

Statistical evidence for rough set analysis. - Shusaku Tsumoto (FUZZ-IEEE, 2002)

Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine. - Shoji Hirano; Shusaku Tsumoto (ICDM, 2002)

Automated Discovery of Decision Rule Chains Using Rough Sets and Medical Diagnostic Model. - Shusaku Tsumoto (ISMIS, 2002)

Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases. - Shoji Hirano; Shusaku Tsumoto (PKDD, 2002)

Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets aaand Medical Diagnostic Model. - Shusaku Tsumoto (PKDD, 2002)

Segmentation of Medical Images Based on Approximations in Rough Set Theory. - Shoji Hirano; Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 2002)

Accuracy and Coverage in Rough Set Rule Induction. - Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 2002)

Statistical Test for Rough Set Approximation Based on Fisher's Exact Test. - Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 2002)

Analysis of amino-acid sequences by statistical technique. - Shusaku Tsumoto; Shoji Hirano; Akira Yasuda; Kouhei Tsumoto (Inf. Sci., 2002)

Multiscale Analysis of Long Time-series Medical Databases. - Shoji Hirano; Shusaku Tsumoto (AMIA, 2003)

Empirical Comparison of Clustering Methods for Long Time-Series Databases. - Shoji Hirano; Shusaku Tsumoto (Active Mining, 2003)

Active Mining Project: Overview. - Shusaku Tsumoto; Takahira Yamaguchi; Masayuki Numao; Hiroshi Motoda (Active Mining, 2003)

Internet-based Decision Support: Towards E-Hospital. - Shusaku Tsumoto; Shoji Hirano; Eisuke Hanada (COMPSAC, 2003)

Comparison of similarity measures and clustering methods for time-series medical data mining. - Shoji Hirano; Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2003)

Automated rule induction with grouping target concepts. - Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2003)

Towards visualization of rules based on rough sets and graphical modeling. - Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2003)

Visualization of Rule's Similarity using Multidimensional Scaling. - Shusaku Tsumoto; Shoji Hirano (ICDM, 2003)

Pattern Discovery based on Rule Induction and Taxonomy Generation. - Shusaku Tsumoto; Shoji Hirano (ICDM, 2003)

Indiscernibility-Based Clustering: Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (IFSA, 2003)

Mining Multi-level Diagnostic Process Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model. - Shusaku Tsumoto (IFSA, 2003)

Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching. - Shoji Hirano; Shusaku Tsumoto (ISMIS, 2003)

Mining Diagnostic Rules with Taxonomy from Medical Databases. - Shusaku Tsumoto (ISMIS, 2003)

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

An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations. - Shoji Hirano; Shusaku Tsumoto (PKDD, 2003)

Mining Rules of Multi-level Diagnostic Procedure from Databases. - Shusaku Tsumoto (PKDD, 2003)

Extracting Structure of Medical Diagnosis: Rough Set Approach. - Shusaku Tsumoto (RSFDGrC, 2003)

Characteristics of Accuracy and Coverage in Rule Induction. - Shusaku Tsumoto (RSFDGrC, 2003)

Linear Independence in Contingency Table. - Shusaku Tsumoto (RSFDGrC, 2003)

Web based medical decision support system: application of internet to telemedicine. - Shusaku Tsumoto (SAINT Workshops, 2003)

Extracting diagnostic taxonomy using rough sets. - Shusaku Tsumoto (SMC, 2003)

Web Based Medical Decision Support System for Neurological Diseases. - Shusaku Tsumoto (Web Intelligence, 2003)

Statistical Independence as Linear Independence. - Shusaku Tsumoto (RSKD, 2003)

Rule Induction with Grouping Target Concepts based on Rough Sets. - Shusaku Tsumoto (RSKD, 2003)

Automated extraction of hierarchical decision rules from clinical databases using rough set model. - Shusaku Tsumoto (Expert Syst. Appl., 2003)

An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-. - Shoji Hirano; Shusaku Tsumoto (J. Adv. Comput. Intell. Intell. Informatics, 2003)

Chance Discovery in Medicine - Detection of Rare Risky Events in Chronic Diseases. - Shusaku Tsumoto (New Gener. Comput., 2003)

Cluster analysis of long time-series medical datasets. - Shoji Hirano; Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Rank and independence in contingency table. - Shusaku Tsumoto (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Workshop on Active Mining (AM-2004). - Masayuki Numao; Takahira Yamaguchi; Shusaku Tsumoto; Hiroshi Motoda (JSAI Workshops, 2004)

Mining Diagnostic Taxonomy Using Interval-Based Similarity from Clinical Databases. - Shusaku Tsumoto (MDAI, 2004)

A Comparative Study of Clustering Methods for Long Time-Series Medical Databases. - Shusaku Tsumoto; Shoji Hirano (MDAI, 2004)

Finding Interesting Pass Patterns from Soccer Game Records. - Shoji Hirano; Shusaku Tsumoto (PKDD, 2004)

On the Degree of Independence of a Contingency Matrix. - Shoji Hirano; Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 2004)

Detection of Differences between Syntactic and Semantic Similarities. - Shoji Hirano; Shusaku Tsumoto (Rough Sets and Current Trends in Computing, 2004)

Extraction of Structure of Medical Diagnosis from Clinical Data. - Shusaku Tsumoto (Fundam. Informaticae, 2004)

Comparison of clustering methods for clinical databases. - Shoji Hirano; Xiaoguang Sun; Shusaku Tsumoto (Inf. Sci., 2004)

Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model. - Shusaku Tsumoto (Inf. Sci., 2004)

Computational Analysis of Acquired Dyslexia of Kanji Characters based on Conventional and Rough Neural Networks. - Shusaku Tsumoto (Rough-Neural Computing: Techniques for Computing with Words, 2004)

Classification of temporal sequences using multiscale matching and rough clustering. - Shoji Hirano; Shusaku Tsumoto (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2005)

Granularity and statistical independence in a contingency table. - Shusaku Tsumoto (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2005)

On statistical independence of a contingency matrix. - Shusaku Tsumoto; Shoji Hirano (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2005)

An indiscernibility-based clustering method. - Shoji Hirano; Shusaku Tsumoto (GrC, 2005)

Degree of Dependence as Granularity in a Contingency Table. - Shusaku Tsumoto; Shoji Hirano (GrC, 2005)

Linear independence in a contingency table. - Shusaku Tsumoto; Shoji Hirano (GrC, 2005)

Evaluating 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 (HIS, 2005)

Grouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (HIS, 2005)

A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (ICDM, 2005)

Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching. - Shoji Hirano; Shusaku Tsumoto (ISMIS, 2005)

Statistical Independence from the Viewpoint of Linear Algebra. - Shusaku Tsumoto (ISMIS, 2005)

Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling. - Shusaku Tsumoto; Shoji Hirano (ISMIS, 2005)

On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (JSAI Workshops, 2005)

A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records. - Shoji Hirano; Shusaku Tsumoto (RSFDGrC (1), 2005)

On Degree of Dependence Based on Contingency Matrix. - Shusaku Tsumoto; Shoji Hirano (RSFDGrC (1), 2005)

A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster. - Shoji Hirano; Shusaku Tsumoto (SAINT Workshops, 2005)

Strucutural Comparison and Cluster Analysis of Time-Series Medical Data. - Shoji Hirano; Shusaku Tsumoto (SMC, 2005)

Visualization of differences between rules' syntactic and semantic similarities. - Shusaku Tsumoto (SMC, 2005)

Clinical Decision Support Based on Mobile Telecommunication Systems. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe; Hideaki Nakakuni; Eisuke Hanada (Web Intelligence, 2005)

Rough representation of a region of interest in medical images. - Shoji Hirano; Shusaku Tsumoto (Int. J. Approx. Reason., 2005)

Automated discovery of chronological patterns in long time-series medical datasets. - Shusaku Tsumoto; Shoji Hirano (Int. J. Intell. Syst., 2005)

On Statistical Independence in a Contingency Table. - Shusaku Tsumoto (Foundations of Data Mining and knowledge Discovery, 2005)

Data Structure and Algorithm in Data Mining: Granular Computing View. - Shusaku Tsumoto (COMPSAC (1), 2006)

Visualization of similarities and dissimilarities in rules using MDS. - Shusaku Tsumoto (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2006)

Mining hospital management data. - Shusaku Tsumoto; Yuko Tsumoto (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2006)

Decomposition of Contingency Table as Tensor Product. - Shusaku Tsumoto; Shoji Hirano (FUZZ-IEEE, 2006)

Analysis of sample size effect on dependency of contingency matrix. - Shusaku Tsumoto; Shoji Hirano (GrC, 2006)

Characterization of contextual independence of contingency matrix. - Shusaku Tsumoto; Shoji Hirano (GrC, 2006)

Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (ICDM Workshops, 2006)

Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques. - Shoji Hirano; Shusaku Tsumoto (ICDM, 2006)

Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures. - Miho Ohsaki; Hidenao Abe; Shusaku Tsumoto; Hideto Yokoi; Takahira Yamaguchi (ICDM Workshops, 2006)

Residual Matrix and Statistical Independence in a Contingency Table. - Shusaku Tsumoto; Shoji Hirano (ICDM Workshops, 2006)

Risk Mining in Hospital Information Systems. - Shusaku Tsumoto; Kimiko Matsuoka; Shigeki Yokoyama (ICDM Workshops, 2006)

Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (ISMIS, 2006)

Characteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations. - Shoji Hirano; Shusaku Tsumoto (ISMIS, 2006)

Risk Mining - Overview. - Shusaku Tsumoto; Takashi Washio (JSAI, 2006)

Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (MDAI, 2006)

Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (PAKDD, 2006)

Evaluating 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 (PKAW, 2006)

Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (RSCTC, 2006)

A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (RSCTC, 2006)

Pawlak Rough Set Model, Medical Reasoning and Rule Mining. - Shusaku Tsumoto (RSCTC, 2006)

Distribution of Determinants of Contingency Matrix. - Shusaku Tsumoto; Shoji Hirano (RSCTC, 2006)

Interpretation of Contingency Matrix Using Marginal Distributions. - Shusaku Tsumoto; Shoji Hirano (RSCTC, 2006)

Risk Mining: Mining Nurses' Incident Factors and Application of Mining Results to Prevention of Incidents. - Shusaku Tsumoto; Kimiko Matsuoka; Shigeki Yokoyama (RSCTC, 2006)

Developing a Rule Evaluation Support Method Based on Objective Indices. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (RSKT, 2006)

On the Nature of Degree of Indiscerniblity for Rough Clustering. - Shoji Hirano; Shusaku Tsumoto (SMC, 2006)

Meaning of Marginal Distributions in a Contingency Table. - Shusaku Tsumoto; Shoji Hirano (SMC, 2006)

Risk Mining in Medicine: Application of Data Mining to Medical Risk Management. - Shusaku Tsumoto; Yuko Tsumoto; Kimiko Matsuoka; Shigeki Yokoyama (WImBI, 2006)

Statistical Independence as Linear Dependence in a Contingency Table. - Shusaku Tsumoto (Foundations and Novel Approaches in Data Mining, 2006)

Mining Hospital Management Data using R. - Yuko Tsumoto; Shusaku Tsumoto (Chance Discoveries in Real World Decision Making, 2006)

Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (IEEE ICCI, 2007)

Charcteristics of Pearson Residuals in a Contingency Matrix. - Shusaku Tsumoto; Shoji Hirano (IEEE ICCI, 2007)

Cluster Analysis of Trajectory Data on Hospital Laboratory Examinations. - Shoji Hirano; Shusaku Tsumoto (AMIA, 2007)

Mining Rules for Risk Factors on Blood Stream Infection in Hospital Information System. - Kimiko Matsuoka; Shigeki Yokoyama; Kunitomo Watanabe; Shusaku Tsumoto (BIBM, 2007)

Cluster analysis of temporal trajectories of hospital laboratory examinations. - Shoji Hirano; Shusaku Tsumoto (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2007)

Discovery of exacerbating cases in chronic hepatitis based on cluster analysis of time-series platelet count data. - Shoji Hirano; Shusaku Tsumoto (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2007)

Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining. - Shoji Hirano; Shusaku Tsumoto (MCD, 2007)

Evaluation 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 (GrC, 2007)

Mining Diagnostic Taxonomy and Diagnostic Rules for Multi-Stage Medical Diagnosis from Hospital Clinical Data. - Shusaku Tsumoto (GrC, 2007)

Meaning of Pearson Residuals - Linear Algebra View. - Shusaku Tsumoto; Shoji Hirano (GrC, 2007)

Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations. - Shoji Hirano; Shusaku Tsumoto (ICDM Workshops, 2007)

Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining. - Kimiko Matsuoka; Shigeki Yokoyama; Kumitomo Watanabe; Shusaku Tsumoto (ICDM Workshops, 2007)

Discovery of Risky Cases in Chronic Diseases: An Approach Using Trajectory Grouping. - Shoji Hirano; Shusaku Tsumoto (JSAI, 2007)

Data Mining Analysis of Relationship Between Blood Stream Infection and Clinical Background in Patients Undergoing Lactobacillus Therapy. - Kimiko Matsuoka; Shigeki Yokoyama; Kunitomo Watanabe; Shusaku Tsumoto (JSAI, 2007)

International Workshop on Risk Informatics (RI2007). - Takashi Washio; Shusaku Tsumoto (JSAI, 2007)

Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (KES (2), 2007)

Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling. - Shusaku Tsumoto; Shoji Hirano (KES (2), 2007)

Evaluating Learning Models with Transitions of Human Interests Based on Objective Rule Evaluation Indices. - Hidenao Abe; Hideto Yokoi; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (MedInfo, 2007)

Medical Reasoning and Rough Sets. - Shusaku Tsumoto (RSEISP, 2007)

Attribute Generalization and Fuzziness in Data Mining Contexts. - Shusaku Tsumoto (RSFDGrC, 2007)

Evaluating learning algorithms for a rule evaluation support method. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (SMC, 2007)

Dealing with granularity on non-euclidean relational data based on indiscernibility level. - Shoji Hirano; Shusaku Tsumoto (SMC, 2007)

Contingency matrix theory. - Shusaku Tsumoto; Shoji Hirano (SMC, 2007)

Evaluation of rule interestingness measures in medical knowledge discovery in databases. - Miho Ohsaki; Hidenao Abe; Shusaku Tsumoto; Hideto Yokoi; Takahira Yamaguchi (Artif. Intell. Medicine, 2007)

Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (Data Sci. J., 2007)

Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling. - Shusaku Tsumoto; Shoji Hirano (Fundam. Informaticae, 2007)

Detection of interesting rules using visualization of differences between rules' syntactic and semantic similarities using multidimensional scaling. - Shusaku Tsumoto; Shoji Hirano (Int. J. Knowl. Based Intell. Eng. Syst., 2007)

Risk Mining as New Trends in Hospital Management. - Shusaku Tsumoto; Shoji Hirano (Next Generation of Data Mining, 2008)

Qualitative fuzzy sets and granularity. - Tsau Young Lin; Shusaku Tsumoto (IEEE ICCI, 2008)

Fuzziness from attribute generalization in information table. - Shusaku Tsumoto; Shoji Hirano (IEEE ICCI, 2008)

Statistical independence in three-variables contingency cube. - Shusaku Tsumoto; Shoji Hirano (IEEE ICCI, 2008)

Mining Trajectories of Laboratory Data using Multiscale Matching and Clustering. - Shusaku Tsumoto; Shoji Hirano (CBMS, 2008)

Application of data mining to medical risk management. - Shusaku Tsumoto; Kimiko Matsuoka; Shigeki Yokoyama (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2008)

Trajectory mining using multiscale matching and clustering. - Shoji Hirano; Shusaku Tsumoto (FUZZ-IEEE, 2008)

Partial statistical independence in contingency matrix. - Shusaku Tsumoto; Shoji Hirano (FUZZ-IEEE, 2008)

Investigating Accuracies of Rule Evaluation Models on Randomized Labeling and Human Evaluation. - Hidenao Abe; Shusaku Tsumoto (GrC, 2008)

Hierarchical Clustering of Asymmetric Proximity Data based on the Indiscernibility-level. - Shoji Hirano; Shusaku Tsumoto (GrC, 2008)

Decomposition of Pearson Residuals of Three-variables Contingency Cube. - Shusaku Tsumoto; Shoji Hirano (GrC, 2008)

Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets. - Hidenao Abe; Shusaku Tsumoto (ICDM Workshops, 2008)

Statistical Independence and Contingency Matrix. - Shusaku Tsumoto; Shoji Hirano (ICDM Workshops, 2008)

Hospital Management Based on Data Mining. - Shusaku Tsumoto; Shoji Hirano (ISDA (3), 2008)

Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient. - Hidenao Abe; Shusaku Tsumoto (ISMIS, 2008)

Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient. - Hidenao Abe; Shusaku Tsumoto (KES (2), 2008)

Detection of Risk Factors as Temporal Data Mining. - Shoji Hirano; Shusaku Tsumoto (PAKDD Workshops, 2008)

Finding Functional Groups of Objective Rule Evaluation Indices Using PCA. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (PAKM, 2008)

Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria. - Hidenao Abe; Shusaku Tsumoto (RSCTC, 2008)

Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra. - Shusaku Tsumoto; Shoji Hirano (RSCTC, 2008)

Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules. - Hidenao Abe; Shusaku Tsumoto (RSKT, 2008)

Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-Level. - Shoji Hirano; Shusaku Tsumoto (RSKT, 2008)

Statistical dependence in contingency data cube. - Shusaku Tsumoto; Shoji Hirano (SMC, 2008)

Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency Table. - Shusaku Tsumoto; Shoji Hirano (Trans. Comput. Sci., 2008)

Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (Communications and Discoveries from Multidisciplinary Data, 2008)

Discovery of Clusters from Proximity Data: An Approach Using Iterative Adjustment of Binary Classifications. - Shoji Hirano; Shusaku Tsumoto (Communications and Discoveries from Multidisciplinary Data, 2008)

On Pseudo-Statistical Independence in a Contingency Table. - Shusaku Tsumoto (Data Mining: Foundations and Practice, 2008)

Role of Sample Size and Determinants in Granularity of Contingency Matrix. - Shusaku Tsumoto (Data Mining: Foundations and Practice, 2008)

Risk Mining for Infection Control. - Shusaku Tsumoto; Kimiko Matsuoka; Shigeki Yokoyama (Communications and Discoveries from Multidisciplinary Data, 2008)

Evaluating a method to detect temporal trends of phrases in research documents. - Hidenao Abe; Shusaku Tsumoto (IEEE ICCI, 2009)

A method to characterize dataset based on objective rule evaluation indices. - Hidenao Abe; Shusaku Tsumoto (Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security, 2009)

Temporal data mining for hospital management. - Shusaku Tsumoto; Shoji Hirano (Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security, 2009)

Detection of trends of technical phrases in text mining. - Hidenao Abe; Shusaku Tsumoto (GrC, 2009)

Multivariate statistical independence and contingency tables. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe (GrC, 2009)

Detecting Similarity of Transferring Datasets Based on Features of Classification Rules. - Hidenao Abe; Shusaku Tsumoto (ICDM Workshops, 2009)

Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression. - Hidenao Abe; Shusaku Tsumoto (ISMIS, 2009)

Detecting Temporal Patterns of Importance Indices about Technical Phrases. - Hidenao Abe; Shusaku Tsumoto (KES (2), 2009)

Evaluation of a Classification Rule Mining Algorithm Based on Secondary Differences. - Shusaku Tsumoto; Hidenao Abe (KES (2), 2009)

Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method. - Hidenao Abe; Shusaku Tsumoto (RSFDGrC, 2009)

Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step. - Shoji Hirano; Shusaku Tsumoto (RSFDGrC, 2009)

A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single Indices. - Hidenao Abe; Shusaku Tsumoto (RSKT, 2009)

Detecting Temporal Patterns of Technical Phrases by using Importance Indices in a Research Documents. - Hidenao Abe; Shusaku Tsumoto (SMC, 2009)

Distribution of Derminants of Contingency Tables. - Shusaku Tsumoto (SMC, 2009)

Pearson Residuals in Multi-way Contingency Tables. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe (SMC, 2009)

Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions. - Hidenao Abe; Shusaku Tsumoto (Fundam. Informaticae, 2009)

Statistical Independence and Determinants in a Contingency Table - Interpretation of Pearson Residuals based on Linear Algebra -. - Shusaku Tsumoto; Shoji Hirano (Fundam. Informaticae, 2009)

Contingency Matrix Theory II: Degree of Dependence as Granularity. - Shusaku Tsumoto; Shoji Hirano (Fundam. Informaticae, 2009)

Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I). - Yingxu Wang 001; Du Zhang; Shusaku Tsumoto (Fundam. Informaticae, 2009)

Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II). - Yingxu Wang 001; Du Zhang; Shusaku Tsumoto (Fundam. Informaticae, 2009)

Contingency matrix theory: Statistical dependence in a contingency table. - Shusaku Tsumoto (Inf. Sci., 2009)

Rough Set Data Analysis. - Shusaku Tsumoto (Encyclopedia of Complexity and Systems Science, 2009)

Dependency and Granularity inData. - Shusaku Tsumoto; Shoji Hirano (Encyclopedia of Complexity and Systems Science, 2009)

Evaluating Learning Algorithms Composed by a Constructive Meta-learning Scheme for a Rule Evaluation Support Method. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (Mining Complex Data, 2009)

Comparing order entry subsequences related to CPOE correction factors. - Hidenao Abe; Shusaku Tsumoto (IEEE ICCI, 2010)

Incremental discovery of probabilistic rules from clinical databases based on rough set theory. - Shusaku Tsumoto (IEEE ICCI, 2010)

Sampling from databases for rule induction methods based on likelihood ratio test. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe (IEEE ICCI, 2010)

Analysis of Research Keys as Tempral Patterns of Technical Term Usages in Bibliographical Data. - Hidenao Abe; Shusaku Tsumoto (AMT, 2010)

Hierarchical, Granular Representation of Non-metric Proximity Data. - Shoji Hirano; Shusaku Tsumoto (GrC, 2010)

Qualitative Simulation Based on Ranked Hyperreals. - Shusaku Tsumoto (GrC, 2010)

Information Granules of Statistical Dependence in Multiway Contingency Tables. - Shusaku Tsumoto; Shoji Hirano (GrC, 2010)

Geometrical and Combinatorial Nature of Pearson Residuals. - Shusaku Tsumoto; Shoji Hirano (GrC, 2010)

Text Categorization with Considering Temporal Patterns of Term Usages. - Hidenao Abe; Shusaku Tsumoto (ICDM Workshops, 2010)

Curvature Maxima-based Trajectories Mining. - Shoji Hirano; Shusaku Tsumoto (ICDM Workshops, 2010)

Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing. - Shusaku Tsumoto; Shoji Hirano (ICDM Workshops, 2010)

Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management. - Shusaku Tsumoto; Shoji Hirano; Yuko Tsumoto (ICDM Workshops, 2010)

A "Ubiquitous Environment" through Wireless Voice/Data Communication and a Fully Computerized Hospital Information System in a University Hospital. - Eisuke Hanada; Shusaku Tsumoto; Shotai Kobayashi (E-HEALTH, 2010)

Mining Temporal Patterns of Technical Term Usages in Bibliographical Data. - Hidenao Abe; Shusaku Tsumoto (IIP, 2010)

Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe (IIP, 2010)

Discovering Research Key Terms as Temporal Patterns of Importance Indices for Text Mining. - Hidenao Abe; Shusaku Tsumoto (KES (3), 2010)

Representation of Granularity for Non-Euclidian Relational Data by Jaccard Coefficients and Binary Classifications. - Shoji Hirano; Shusaku Tsumoto (RSCTC, 2010)

Residual Analysis of Statistical Dependence in Multiway Contingency Tables. - Shusaku Tsumoto; Shoji Hirano (RSKT, 2010)

Likelihood-Based Sampling from Databases for Rule Induction Methods. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe (RSKT, 2010)

Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to Medicine. - Shoji Hirano; Shusaku Tsumoto (SBP, 2010)

Trend detection from large text data. - Hidenao Abe; Shusaku Tsumoto (SMC, 2010)

Three dimensional trajectories mining. - Shusaku Tsumoto; Shoji Hirano (SMC, 2010)

Risk Mining in Medicine: Application of Data Mining to Medical Risk Management. - Shusaku Tsumoto; Shoji Hirano (Fundam. Informaticae, 2010)

Improving a rule evaluation support method based on objective indices. - Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi (Int. J. Adv. Intell. Paradigms, 2010)

Some Remarks on the Concept of Approximations from the View of Knowledge Engineering. - Tsau Young Lin; Rushin Barot; Shusaku Tsumoto (Int. J. Cogn. Informatics Nat. Intell., 2010)

Multiscale Comparison and Clustering of Three-Dimensional Trajectories Based on Curvature Maxima. - Shoji Hirano; Shusaku Tsumoto (Int. J. Inf. Technol. Decis. Mak., 2010)

Exploratory Univariate Analysis on the Characterization of a University Hospital: A Preliminary Step to Data-Mining-Based Hospital Management Using an Exploratory Univariate Analysis of a University Hospital. - Yuko Tsumoto; Shusaku Tsumoto (Rev. Socionetwork Strateg., 2010)

Rule induction methods with hierachical sampling. - Shusaku Tsumoto (IEEE ICCI*CC, 2011)

Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata; Yuko Tsumoto (FGIT, 2011)

Constructing features for document classification by using temporal patterns of term usages. - Hidenao Abe; Shusaku Tsumoto (GrC, 2011)

A clustering method for asymmetric proximity data based on bi-links with ε-indiscernibility. - Shoji Hirano; Shusaku Tsumoto (GrC, 2011)

A new framework for incremental rule induction based on rough sets. - Shusaku Tsumoto (GrC, 2011)

Combinatorics of pearson residuals and degree of freedom in contingency tables. - Shusaku Tsumoto; Shoji Hirano (GrC, 2011)

Clustering-based analysis in hospital information systems. - Shusaku Tsumoto; Shoji Hirano; Yuko Tsumoto (GrC, 2011)

Visualization of Hospital Services Using Data Mining Methods. - Shusaku Tsumoto; Shoji Hirano; Yuko Tsumoto (ICDM Workshops, 2011)

Information reuse in hospital information systems: A data mining approach. - Shusaku Tsumoto; Shoji Hirano; Yuko Tsumoto (IRI, 2011)

Mining Classification Rules for Detecting Medication Order Changes by Using Characteristic CPOE Subsequences. - Hidenao Abe; Shusaku Tsumoto (ISMIS, 2011)

Incremental Rule Induction Based on Rough Set Theory. - Shusaku Tsumoto (ISMIS, 2011)

Data Mining in Meningoencephalitis: The Starting Point of Discovery Challenge. - Shusaku Tsumoto; Katsuhiko Takabayashi (ISMIS, 2011)

Comparing a Clustering Density Criteria of Temporal Patterns of Terms Obtained by Different Feature Sets. - Hidenao Abe; Shusaku Tsumoto (RSKT, 2011)

Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach. - Shusaku Tsumoto; Shoji Hirano (RSKT, 2011)

Temporal data mining in history data of hospital information systems. - Shusaku Tsumoto; Shoji Hirano; Hidenao Abe; Yuko Tsumoto (SMC, 2011)

Residual as Linear Sum of Matrix Determinants in Multiway Contingency Tables. - Shusaku Tsumoto; Shoji Hirano (Int. J. Comput. Intell. Syst., 2011)

Special issue on data mining for decision making and risk management. - Shusaku Tsumoto; Tzung-Pei Hong (J. Intell. Inf. Syst., 2011)

Detection of risk factors using trajectory mining. - Shusaku Tsumoto; Shoji Hirano (J. Intell. Inf. Syst., 2011)

Correlation and Regression Analysis for Characterizations of a University Hospital. - Yuko Tsumoto; Shusaku Tsumoto (Rev. Socionetwork Strateg., 2011)

Evaluating a Temporal Pattern Detection Method for Finding Research Keys in Bibliographical Data. - Hidenao Abe; Shusaku Tsumoto (Trans. Rough Sets, 2011)

Data Mining: From Medical Decision Support to Hospital Management. - Shusaku Tsumoto (Journeys to Data Mining, 2012)

Exploratory temporal data mining process in hospital information systems. - Shusaku Tsumoto; Haruko Iwata; Shoji Hirano; Yuko Tsumoto (ICCI*CC, 2012)

Temporal data mining of order entry histories for characterization of medical practice. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (CBMS, 2012)

Construction and maintenance of clinical pathways using data mining methods. - Shusaku Tsumoto; Haruko Iwata; Shoji Hirano (MIX-HS, 2012)

Degree of freedom and numbers of subdeterminants in contingency table. - Shusaku Tsumoto; Shoji Hirano (GrC, 2012)

Geometrical interpretation of pearson residuals. - Shusaku Tsumoto; Shoji Hirano (GrC, 2012)

Visualization of doctors' behavior using similarity-based methods. - Shusaku Tsumoto; Shoji Hirano; Yuko Tsumoto (GrC, 2012)

Temporal Data Mining for Nursing Schedule Management. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (IBICA, 2012)

Data-Oriented Construction and Maintenance of Clinical Pathway Using Similarity-Based Data Mining Methods. - Haruko Iwata; Shusaku Tsumoto; Shoji Hirano (ICDM Workshops, 2012)

Multidimensional temporal mining in clinical data. - Shusaku Tsumoto; Shoji Hirano (IHI, 2012)

Towards data: a human/machine-oriented approach of medical data collection. - Shusaku Tsumoto; Mihoko Otake; Hiroshi Nakajima; Takayuki Fujita; Yan Chow (IHI, 2012)

Incremental Rules Induction Method Based on Three Rule Layers. - Shusaku Tsumoto; Shoji Hirano (ISMIS, 2012)

Comparing Similarity of Concepts Identified by Temporal Patterns of Terms in Biomedical Research Documents. - Shusaku Tsumoto; Hidenao Abe (RSKT, 2012)

Incremental Rules Induction Based on Rule Layers. - Shusaku Tsumoto; Shoji Hirano (RSKT, 2012)

Trajectories mining in hospital information systems. - Shusaku Tsumoto; Shoji Hirano (SMC, 2012)

Information granules in medical differential diagnosis. - Shusaku Tsumoto; Shoji Hirano (SMC, 2012)

Data-oriented maintenance of clinical pathway using clustering and multidimensional scaling. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (SMC, 2012)

Characterizing Hospital Services Using Temporal Data Mining. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata; Yuko Tsumoto (SRII Global Conference, 2012)

Perspectives on eBrain and Cognitive Computing. - Yingxu Wang 001; James A. Anderson; George Baciu; Gerhard Budin; D. Frank Hsu; Mitsuru Ishizuka; Witold Kinsner; Fumio Mizoguchi; Toyoaki Nishida; Kenji Sugawara; Shusaku Tsumoto; Du Zhang (Int. J. Cogn. Informatics Nat. Intell., 2012)

Detection of research trends from bibliographical data. - Hidenao Abe; Shusaku Tsumoto (Int. J. Data Min. Model. Manag., 2012)

Mining hierarchical temporal association rules in a publication database. - Guo-Cheng Lan; Tzung-Pei Hong; Pei-Shan Wu; Shusaku Tsumoto (ICCI*CC, 2013)

Granularity-based mining for construction of nursing care plan. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (ICCI*CC, 2013)

Mining nursing care plan from data extracted from hospital information system. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (ASONAM, 2013)

Cluster analysis of treatment processes based on the typicalness measure for building clinical pathways. - Shoji Hirano; Shusaku Tsumoto (BIBM, 2013)

Granularity-based temporal data mining in hospital information system. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (IEEE BigData, 2013)

Mining Clinical Pathway Based on Clustering and Feature Selection. - Haruko Iwata; Shoji Hirano; Shusaku Tsumoto (Brain and Health Informatics, 2013)

Incremental Induction of Medical Diagnostic Rules. - Shusaku Tsumoto; Shoji Hirano (Brain and Health Informatics, 2013)

Clinical schedule management based on granularity-based mining. - Haruko Iwata; Shusaku Tsumoto; Shoji Hirano (CYBCONF, 2013)

FML-based Japanese diet assessment system. - Kanta Kurozumi; Shun-Teng Lan; Mei-Hui Wang; Chang-Shing Lee; Mikiko Kawaguchi; Shusaku Tsumoto; Hiroshi Tsuji (FUZZ-IEEE, 2013)

Evaluation of set-based indices based on incremental sampling framework. - Shusaku Tsumoto; Shoji Hirano (FUZZ-IEEE, 2013)

Algebraic analysis of statistical dependence. - Shusaku Tsumoto; Shoji Hirano (GrC, 2013)

Data mining based clinical care plan construction. - Haruko Iwata; Shusaku Tsumoto; Shoji Hirano (iCAST/UMEDIA, 2013)

Clustering of Order Sequences Based on the Typicalness Index for Finding Clinical Pathway Candidates. - Shoji Hirano; Shusaku Tsumoto (ICDM Workshops, 2013)

Clinical Schedule Management Using Similarity-Based Mining Methods. - Haruko Iwata; Shusaku Tsumoto; Shoji Hirano (ICHI, 2013)

Data-Oriented Maintenance of Schedule Management of Nursing Care. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (ICServ, 2013)

Ensuring the Security and Availability of a Hospital Wireless LAN System. - Eisuke Hanada; Takato Kudou; Shusaku Tsumoto (MedInfo, 2013)

Construction of the Integrated Multicentre Discharge Summary Database. - Takahiro Suzuki; Shunsuke Doi; Shinsuke Fujita; Yutaka Hatakeyama; Masayuki Honda; Yasushi Matsumura; Gen Shimada; Mitsuhiro Takasaki; Shusaku Tsumoto; Hideto Yokoi; Katsuhiko Takabayashi (MedInfo, 2013)

Mining Clinical Process in Order Histories Using Sequential Pattern Mining Approach. - Shusaku Tsumoto; Hidenao Abe (PAKDD Workshops, 2013)

Evaluation of Incremental Change of Set-Based Indices. - Shusaku Tsumoto; Shoji Hirano (RSKT, 2013)

Mining Clinical Pathway Candidates from Order History Based on the Clustering of Order Sequences. - Shoji Hirano; Shusaku Tsumoto (SMC, 2013)

Incremental Induction of Probabilistic Rules Based on Incremental Sampling Scheme. - Shusaku Tsumoto; Shoji Hirano (SMC, 2013)

Mining Clinical Pathway Using Clustering and Rule Induction. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (SMC, 2013)

Incremental Induction of Medical Diagnostic Rules Based on Incremental Sampling Scheme and SubRule Layers. - Shusaku Tsumoto; Shoji Hirano (Fundam. Informaticae, 2013)

Perspectives on Cognitive Computers and Knowledge Processors. - Yingxu Wang 001; Gabriele Fariello; Marina L. Gavrilova; Witold Kinsner; Fumio Mizoguchi; Shushma Patel; Dilip Patel; Fernando L. Pelayo; Victor Raskin; Duane F. Shell; Shusaku Tsumoto (Int. J. Cogn. Informatics Nat. Intell., 2013)

Combinatorics of Information Granule in Contingency Table. - Shusaku Tsumoto; Shoji Hirano (Int. J. Intell. Syst., 2013)

Combinatorics in Pearson residuals. - Shusaku Tsumoto; Shoji Hirano (Int. J. Knowl. Eng. Soft Data Paradigms, 2013)

Clustering of non-metric proximity data based on bi-links with ϵ-indiscernibility. - Shoji Hirano; Shusaku Tsumoto (J. Intell. Inf. Syst., 2013)

Special issue on challenges in knowledge discovery and data mining. - Shusaku Tsumoto (J. Intell. Inf. Syst., 2013)

Installation of Secure, Always Available Wireless LAN Systems as a Component of the Hospital Communication Infrastructure. - Eisuke Hanada; Takato Kudou; Shusaku Tsumoto (J. Medical Syst., 2013)

Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence. - Andrzej Skowron; Mihir K. Chakraborty; Jerzy W. Grzymala-Busse; Victor W. Marek; Sankar K. Pal; James F. Peters; Grzegorz Rozenberg; Dominik Slezak; Roman Slowinski; Shusaku Tsumoto; Alicja Wakulicz-Deja; Guoyin Wang 001; et al. (Rough Sets and Intelligent Systems (1), 2013)

Rough Sets and Medical Differential Diagnosis. - Shusaku Tsumoto (Rough Sets and Intelligent Systems (1), 2013)

Incremental rule induction based on updates of statistical indices. - Shusaku Tsumoto; Shoji Hirano (ICCI*CC, 2014)

Formal analysis of cross-validation for rule induction using probabilistic indices. - Shusaku Tsumoto; Shoji Hirano (ICCI*CC, 2014)

Formal analysis of cross-validation based on decremental sampling scheme. - Shusaku Tsumoto; Shoji Hirano (GrC, 2014)

Probabilistic rule induction based on incremental sampling scheme. - Shusaku Tsumoto; Shoji Hirano (GrC, 2014)

Healthcare IT: Integration of consumer healthcare data and electronic medical records for chronic disease management. - Shusaku Tsumoto; Shoji Hirano (GrC, 2014)

Visualization of Patient Distributions in a Hospital Based on the Clinical Actions Stored in EHR. - Shoji Hirano; Shusaku Tsumoto (ICDM Workshops, 2014)

Data Mining-Based Service Quality Estimation in Hospital Information System. - Toshihiko Kawamura; Tomohiro Kimura; Shusaku Tsumoto (ICDM Workshops, 2014)

Factors of Patient Satisfaction Based on Distant Analysis in HCAHPS Databases. - Masumi Okuda; Akira Yasuda; Shusaku Tsumoto (ICDM Workshops, 2014)

Exploratory Analysis of Factors of Patient Satisfaction in HCAHPS Databases. - Masumi Okuda; Akira Yasuda; Shusaku Tsumoto (ICServ, 2014)

Construction of Clinical Pathway based on Similarity-based Mining in Hospital Information System. - Haruko Iwata; Shoji Hirano; Shusaku Tsumoto (ITQM, 2014)

Mining Typical Order Sequences from EHR for Building Clinical Pathways. - Shoji Hirano; Shusaku Tsumoto (PAKDD Workshops, 2014)

Evaluation of Leave-One Out Method Based on Incremental Sampling Scheme. - Shusaku Tsumoto; Shoji Hirano (RSEISP, 2014)

Visualizing dynamics of patients in hospitals using devise locations. - Shoji Hirano; Shusaku Tsumoto (SMC, 2014)

Formal analysis of leave-one out method based on decremental sampling scheme. - Shusaku Tsumoto; Shoji Hirano (SMC, 2014)

Homological analysis of statistical dependence. - Shusaku Tsumoto; Shoji Hirano (SMC, 2014)

Towards Data-Oriented Schedule Management in Hospital. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (SRII Global Conference, 2014)

Formal Analysis of Leave-One-Out Methods Based on Decremental Sampling Scheme. - Shusaku Tsumoto; Shoji Hirano (WI-IAT (1), 2014)

Formal Analysis of Statistical Dependence Based Homological Algebra. - Shusaku Tsumoto; Shoji Hirano (WI-IAT (1), 2014)

Similarity-based behavior and process mining of medical practices. - Shusaku Tsumoto; Haruko Iwata; Shoji Hirano; Yuko Tsumoto (Future Gener. Comput. Syst., 2014)

Estimation of Service Quality of a Hospital Information System Using a Service Log. - Toshihiko Kawamura; Tomohiro Kimura; Shusaku Tsumoto (Rev. Socionetwork Strateg., 2014)

Mining probabilistic rules using nonmonotonic rule layers. - Shusaku Tsumoto; Shoji Hirano (ICCI*CC, 2015)

Analytics for Hospital Management. - Shusaku Tsumoto; Shoji Hirano (ASE BD&SI, 2015)

Dual Clustering and Data Decomposition for Nursing Care Management. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (ASE BD&SI, 2015)

Granular formalization of medical diagnostic process. - Shusaku Tsumoto; Shoji Hirano (IEEE BigData, 2015)

Data decomposition and dual clustering for clinical care management. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (IEEE BigData, 2015)

The Change of the Structure of Patient Satisfaction by Waiting Time, Length of Stay and Hospital Rebuilding in Japan. - Masumi Okuda; Akira Yasuda; Shusaku Tsumoto (ICDM Workshops, 2015)

Rule Mining Based on Nonmonotonic Rule Layers and Its Application to Medicine. - Shusaku Tsumoto; Shoji Hirano (ICDM Workshops, 2015)

The Effects of Waiting Time, Length of Stay, and Hospital Remodeling on the Structure of Patient Satisfaction. - Masumi Okuda; Akira Yasuda; Shusaku Tsumoto (ICServ, 2015)

Statistical Estimation of Software Quality in Hospital Information System. - Shusaku Tsumoto; Shoji Hirano; Toshihiko Kawamura (ICServ, 2015)

Layered Rule Induction. - Shusaku Tsumoto; Shoji Hirano (ITQM, 2015)

Mining Schedule of Nursing Care Based on Dual-Clustering. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (ITQM, 2015)

Clinical application of the integrated multicenter discharge summary database. - Takahiro Suzuki; Shunsuke Doi; Yutaka Hatakeyama; Masayuki Honda; Yasushi Matsumura; Gen Shimada; Mitsuhiro Takasaki; Shusaku Tsumoto; Hideto Yokoi; Katsuhiko Takabayashi (MedInfo, 2015)

Formalization of Medical Diagnostic Rules. - Shusaku Tsumoto; Shoji Hirano (RSFDGrC, 2015)

Maintenance and Discovery of Domain Knowledge for Nursing Care using Data in Hospital Information System. - Haruko Iwata; Shoji Hirano; Shusaku Tsumoto (Fundam. Informaticae, 2015)

Active mining process for software quality estimation. - Shusaku Tsumoto; Shoji Hirano (ICCI*CC, 2016)

Construction of linguistic variables based on rule induction and concept hierarchy. - Shusaku Tsumoto; Shoji Hirano (ICCI*CC, 2016)

Construction of clinical pathway from histories of clinical actions in hospital information system. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata (IEEE BigData, 2016)

Mining process for improvement of clinical process quality. - Shusaku Tsumoto; Shoji Hirano; Haruko Iwata; Norio Yoshimoto; Tomohiro Kimura (IEEE BigData, 2016)

A proposal of a privacy-preserving questionnaire by non-deterministic information and its analysis. - Shusaku Tsumoto; Michinori Nakata; Hiroshi Sakai; Chenxi Liu (IEEE BigData, 2016)

Incremental Updates of Rough Set-Based Probabilistic Rules. - Shusaku Tsumoto; Shoji Hirano (CMCSN, 2016)

Dual Clustering for Clinical Care Construction. - Haruko Iwata; Shusaku Tsumoto; Shoji Hirano (ICHI, 2016)

A Data Mining Approach on the Structure of Patient Satisfaction in HCAHPS Databases. - Masumi Okuda; Akira Yasuda; Shusaku Tsumoto (ICHI, 2016)

On Behavior of Statistical Indices in Incremental Context. - Shusaku Tsumoto; Shoji Hirano (IJCRS, 2016)

Linguistic Variables Construction in Information Table. - Shusaku Tsumoto; Shoji Hirano (IJCRS, 2016)

Construction of linguistic variables from data and domain knowledge. - Shusaku Tsumoto; Shoji Hirano (SMC, 2016)

Multidimensional temporal mining in hospital information system. - Shusaku Tsumoto; Shoji Hirano (Int. J. Comput. Intell. Stud., 2016)

Healthy diet assessment mechanism based on fuzzy markup language for Japanese food. - Mei-Hui Wang; Kanta Kurozumi; Mikiko Kawaguchi; Chang-Shing Lee; Hiroshi Tsuji; Shusaku Tsumoto (Soft Comput., 2016)

Mining text for disease diagnosis in hospital information system. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (IEEE BigData, 2017)

Frequent Temporal Pattern Mining for Medical Data Based on Ranged Relations. - Shoji Hirano; Shusaku Tsumoto (ICDM Workshops, 2017)

Construction of Discharge Summaries Classifier. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (ICHI, 2017)

Discharge Summaries Classifier. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (IIH-MSP (2), 2017)

Mining Text for Disease Diagnosis. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (ITQM, 2017)

Induction of Rule for Differential Diagnosis. - Shusaku Tsumoto; Shoji Hirano (IJCRS (1), 2017)

Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering. - Yingxu Wang 001; Lotfi A. Zadeh; Bernard Widrow; Newton Howard; Françoise Beaufays; George Baciu; D. Frank Hsu; Guiming Luo; Fumio Mizoguchi; Shushma Patel; Victor Raskin; Shusaku Tsumoto; et al. (Int. J. Cogn. Informatics Nat. Intell., 2017)

Argumentation with Goals for Clinical Decision Support in Multimorbidity. - Tiago Oliveira 002; Jérémie Dauphin; Ken Satoh; Shusaku Tsumoto; Paulo Novais (AAMAS, 2018)

From Hospital Big Data to Clinical Process: A Granular Computing Approach. - Shusaku Tsumoto; Shoji Hirano; Tomohiro Kimura; Haruko Iwata (IEEE BigData, 2018)

Construction of Clinical Pathway Generation from Nursing Records and Discharge Summaries. - Shusaku Tsumoto; Shoji Hirano; Tomohiro Kimura; Haruko Iwata (ICDM Workshops, 2018)

Empirical Comparison of Distances for Agglomerative Hierarchical Clustering. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (IPMU (2), 2018)

Clinical Pathway Generation from Hospital Information System. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (ITQM, 2018)

Clinical Pathway Generation Based on Hierarchical Clustering and EM Clustering. - Shusaku Tsumoto; Shoji Hirano; Tomohiro Kimura; Haruko Iwata (SMC, 2018)

Empirical Comparison of Similarities for Agglomerative Hierarchical Clustering. - Shusaku Tsumoto; Shoji Hirano; Tomohiro Kimura; Haruko Iwata (SMC, 2018)

Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems. - Yingxu Wang 001; Victor Raskin; Julia Rayz; George Baciu; Aladdin Ayesh; Fumio Mizoguchi; Shusaku Tsumoto; Dilip Patel; Newton Howard (Int. J. Softw. Sci. Comput. Intell., 2018)

Mining frequent temporal patterns from medical data based on fuzzy ranged relations. - Shoji Hirano; Shusaku Tsumoto (IEEE BigData, 2019)

Estimation of Disease Code from Electronic Patient Records. - Shusaku Tsumoto; Tomohiro Kimura; Haruko Iwata; Shoji Hirano (IEEE BigData, 2019)

Clinical Pathway Generation from Order Histories and Discharge Summaries. - Shoji Hirano; Haruko Iwata; Tomohiro Kimura; Shusaku Tsumoto (ICDM Workshops, 2019)

Granular Rules for Medical Diagnosis. - Shusaku Tsumoto; Shoji Hirano (IFSA/NAFIPS, 2019)

Automated Dual Clustering for Clinical Pathway Mining*. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (IEEE BigData, 2020)

Order Trajectory Analysis in Hospital Information System*. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (IEEE BigData, 2020)

Goal-Driven Structured Argumentation for Patient Management in a Multimorbidity Setting. - Tiago Oliveira 002; Jérémie Dauphin; Ken Satoh; Shusaku Tsumoto; Paulo Novais (CLAR, 2020)

How Shoppers Walk and Shop in a Supermarket. - Katsutoshi Yada; Ken Ishibashi; Taku Ohashi; Danhua Wang; Shusaku Tsumoto (ICDM (Workshops), 2020)

From Texts to Classification Knowledge. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (ICIS, 2020)

Mining in Discharge Summaries. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (JSAI, 2020)

Granular Computing based Comparison of Agglomerative Clustering. - Shusaku Tsumoto (IEEE BigData, 2021)

Empirical Rule Induction Methods Selection. - Shusaku Tsumoto (IEEE BigData, 2021)

Comparison of Clustering Strategies using a Partition Tree. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (IST, 2021)

Mining Clinical Process from Hospital Information System: A Granular Computing Approach. - Shusaku Tsumoto; Shoji Hirano; Tomohiro Kimura; Haruko Iwata (Fundam. Informaticae, 2021)

Determination of Disease from Discharge Summaries. - Shusaku Tsumoto; Tomohirno Kimura; Shoji Hirano (Rev. Socionetwork Strateg., 2021)

Mining Clinical Pathways Using Dual Clustering. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (Rev. Socionetwork Strateg., 2021)

Similarity Analysis of Order Trajectory for Hospital Management. - Tomohiro Kimura; Shusaku Tsumoto; Shoji Hirano (IEEE Big Data, 2022)

Expectation-Maximization (EM) Clustering as a Preprocessing Method for Clinical Pathway Mining. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (Rev. Socionetwork Strateg., 2022)

Order Trajectory Analysis for Monitoring Clinical Process. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (Rev. Socionetwork Strateg., 2022)

Using Hospital Information System Data to Estimate Nursing Care Needs. - Hiroyuki Ikedo; Tomohiro Kimura; Shusaku Tsumoto; Shoji Hirano (IEEE Big Data, 2023)

Analysis of Medical Incident Reports using Text Mining*. - Tomohiro Kimura; Shusaku Tsumoto; Shoji Hirano (IEEE Big Data, 2023)

Toward the Implementation of the DPC Code Classification System in Hospital Information Systems. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano (IEEE Big Data, 2024)

Temporal Data Mining in AI-based Patient Navigation Service. - Shusaku Tsumoto; Tomohiro Kimura; Shoji Hirano; Katsutoshi Yada (ICDM (Workshops), 2024)

Covid-19 and Multichannel Customers. - Katsutoshi Yada; Tomoya Ikeda; Genki Yoshida; Takahiro Hakozaki; Ken Matsumoto; Shusaku Tsumoto (ICDM (Workshops), 2024)