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Hidenao Abe
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Journal Articles
- 2017
- [j10]Hidenao Abe:
Extracting user behavior-related words and phrases using temporal patterns of sequential pattern evaluation indices. Vietnam. J. Comput. Sci. 4(3): 147-160 (2017) - 2016
- [j9]Yu Sugawara, Takeshi Morita, Hidenao Abe, Shuichi Matsumoto, Takahira Yamaguchi:
Identifying behaviour objective from traffic behaviour log data by using facility ontology. Int. J. Knowl. Eng. Soft Data Paradigms 5(2): 68-84 (2016) - 2012
- [j8]Hidenao Abe, Shusaku Tsumoto:
Detection of research trends from bibliographical data. Int. J. Data Min. Model. Manag. 4(3): 255-266 (2012) - 2011
- [j7]Hidenao Abe, Shusaku Tsumoto:
Evaluating a Temporal Pattern Detection Method for Finding Research Keys in Bibliographical Data. Trans. Rough Sets 14: 1-17 (2011) - 2010
- [j6]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Improving a rule evaluation support method based on objective indices. Int. J. Adv. Intell. Paradigms 2(2/3): 180-197 (2010) - 2009
- [j5]Hidenao Abe, Shusaku Tsumoto:
Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions. Fundam. Informaticae 90(4): 369-378 (2009) - 2007
- [j4]Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi:
Evaluation of rule interestingness measures in medical knowledge discovery in databases. Artif. Intell. Medicine 41(3): 177-196 (2007) - [j3]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices. Data Sci. J. 6: 285-296 (2007) - [j2]Miho Ohsaki, Hidenao Abe, Takahira Yamaguchi:
Numerical Time-Series Pattern Extraction Based on Irregular Piecewise Aggregate Approximation and Gradient Specification. New Gener. Comput. 25(3): 213-222 (2007) - 2006
- [j1]Hidenao Abe, Takahira Yamaguchi:
A Constructive Meta-Level Feature Selection Method based on Method Repositories. J. Comput. 1(3): 20-26 (2006)
Conference and Workshop Papers
- 2015
- [c61]Hidenao Abe:
Analyzing User Behaviors Based on Temporal Patterns of Sequential Pattern Evaluation Indices on Twitter. PAKDD Workshops 2015: 177-188 - 2014
- [c60]Yu Sugawara, Takeshi Morita, Hidenao Abe, Shuichi Matsumoto, Takahira Yamaguchi:
Identifying Types of Staying Facilities from Traffic Behavior Log Data. KES 2014: 1495-1504 - 2013
- [c59]Hidenao Abe:
Developing Transferable Clickstream Analytic Models Using Sequential Pattern Evaluation Indices. AMT 2013: 177-186 - [c58]Shusaku Tsumoto, Hidenao Abe:
Mining Clinical Process in Order Histories Using Sequential Pattern Mining Approach. PAKDD Workshops 2013: 234-246 - 2012
- [c57]Shusaku Tsumoto, Hidenao Abe:
Comparing similarity of concepts identified by temporal patterns of terms in biomedical research documents. ICCI*CC 2012: 86-93 - [c56]Shusaku Tsumoto, Hidenao Abe:
Comparing Similarity of Concepts Identified by Temporal Patterns of Terms in Biomedical Research Documents. RSKT 2012: 232-241 - 2011
- [c55]Hidenao Abe, Shusaku Tsumoto:
Constructing features for document classification by using temporal patterns of term usages. GrC 2011: 30-36 - [c54]Hidenao Abe, Shusaku Tsumoto:
Mining Classification Rules for Detecting Medication Order Changes by Using Characteristic CPOE Subsequences. ISMIS 2011: 80-89 - [c53]Hidenao Abe, Shusaku Tsumoto:
Comparing a Clustering Density Criteria of Temporal Patterns of Terms Obtained by Different Feature Sets. RSKT 2011: 248-257 - [c52]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, Yuko Tsumoto:
Temporal data mining in history data of hospital information systems. SMC 2011: 2350-2356 - 2010
- [c51]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe:
Sampling from databases for rule induction methods based on likelihood ratio test. IEEE ICCI 2010: 174-179 - [c50]Hidenao Abe, Shusaku Tsumoto:
Comparing order entry subsequences related to CPOE correction factors. IEEE ICCI 2010: 806-810 - [c49]Hidenao Abe, Shusaku Tsumoto:
Analysis of Research Keys as Tempral Patterns of Technical Term Usages in Bibliographical Data. AMT 2010: 150-157 - [c48]Hidenao Abe, Shusaku Tsumoto:
Text Categorization with Considering Temporal Patterns of Term Usages. ICDM Workshops 2010: 800-807 - [c47]Hidenao Abe, Shusaku Tsumoto:
Mining Temporal Patterns of Technical Term Usages in Bibliographical Data. Intelligent Information Processing 2010: 130-138 - [c46]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe:
Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods. Intelligent Information Processing 2010: 139-144 - [c45]Hidenao Abe, Shusaku Tsumoto:
Discovering Research Key Terms as Temporal Patterns of Importance Indices for Text Mining. KES (3) 2010: 297-306 - [c44]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe:
Likelihood-Based Sampling from Databases for Rule Induction Methods. RSKT 2010: 265-272 - [c43]Hidenao Abe, Shusaku Tsumoto:
Trend detection from large text data. SMC 2010: 310-315 - 2009
- [c42]Hidenao Abe, Shusaku Tsumoto:
Evaluating a method to detect temporal trends of phrases in research documents. IEEE ICCI 2009: 378-383 - [c41]Hidenao Abe, Shusaku Tsumoto:
A method to characterize dataset based on objective rule evaluation indices. Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009: 73440D - [c40]Hidenao Abe, Shusaku Tsumoto:
Detection of trends of technical phrases in text mining. GrC 2009: 7-12 - [c39]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe:
Multivariate statistical independence and contingency tables. GrC 2009: 544-548 - [c38]Hidenao Abe, Shusaku Tsumoto:
Detecting Similarity of Transferring Datasets Based on Features of Classification Rules. ICDM Workshops 2009: 412-415 - [c37]Hidenao Abe, Shusaku Tsumoto:
Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression. ISMIS 2009: 251-260 - [c36]Shusaku Tsumoto, Hidenao Abe:
Evaluation of a Classification Rule Mining Algorithm Based on Secondary Differences. KES (2) 2009: 24-31 - [c35]Hidenao Abe, Shusaku Tsumoto:
Detecting Temporal Patterns of Importance Indices about Technical Phrases. KES (2) 2009: 252-258 - [c34]Hidenao Abe, Shusaku Tsumoto:
Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method. RSFDGrC 2009: 502-509 - [c33]Hidenao Abe, Shusaku Tsumoto:
A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single Indices. RSKT 2009: 160-167 - [c32]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe:
Pearson Residuals in Multi-way Contingency Tables. SMC 2009: 2531-2536 - [c31]Hidenao Abe, Shusaku Tsumoto:
Detecting Temporal Patterns of Technical Phrases by using Importance Indices in a Research Documents. SMC 2009: 2959-2964 - 2008
- [c30]Hidenao Abe, Shusaku Tsumoto:
Investigating Accuracies of Rule Evaluation Models on Randomized Labeling and Human Evaluation. GrC 2008: 95-100 - [c29]Hidenao Abe, Shusaku Tsumoto:
Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets. ICDM Workshops 2008: 1-7 - [c28]Hidenao Abe, Shusaku Tsumoto:
Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient. ISMIS 2008: 84-89 - [c27]Hidenao Abe, Shusaku Tsumoto:
Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient. KES (2) 2008: 758-765 - [c26]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Finding Functional Groups of Objective Rule Evaluation Indices Using PCA. PAKM 2008: 197-206 - [c25]Hidenao Abe, Shusaku Tsumoto:
Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria. RSCTC 2008: 293-298 - [c24]Hidenao Abe, Shusaku Tsumoto:
Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules. RSKT 2008: 467-474 - 2007
- [c23]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices. IEEE ICCI 2007: 212-221 - [c22]Hidenao Abe, Satoru Hirabayashi, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Accuracies of a Trading Rule Mining Method Based on Temporal Pattern Extraction. MCD 2007: 72-81 - [c21]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi:
Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases. GrC 2007: 458-464 - [c20]Hidenao Abe, Hideto Yokoi, Miho Ohsaki, Takahira Yamaguchi:
Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining. ICDM Workshops 2007: 127-132 - [c19]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices. KES (2) 2007: 934-941 - [c18]Hidenao Abe, Hideto Yokoi, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Models with Transitions of Human Interests Based on Objective Rule Evaluation Indices. MedInfo 2007: 581-585 - [c17]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating learning algorithms for a rule evaluation support method. SMC 2007: 3784-3789 - 2006
- [c16]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method. ICDM Workshops 2006: 305-310 - [c15]Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi:
Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures. ICDM Workshops 2006: 759-764 - [c14]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. ISMIS 2006: 379-388 - [c13]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts. MDAI 2006: 93-104 - [c12]Hidenao Abe, Takahira Yamaguchi:
Constructive Meta-level Feature Selection Method Based on Method Repositories. PAKDD 2006: 70-80 - [c11]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. PAKDD 2006: 509-519 - [c10]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi:
Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices. PKAW 2006: 75-88 - [c9]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices. RSCTC 2006: 687-695 - [c8]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Developing a Rule Evaluation Support Method Based on Objective Indices. RSKT 2006: 456-461 - 2005
- [c7]Hidenao Abe, Miho Ohsaki, Shusaku Tsumoto, Takahira Yamaguchi:
Evaluating a Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indices - A Case Study with a Meningitis Data Mining Result. HIS 2005: 169-174 - [c6]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes. ICDM 2005: 549-552 - [c5]Hidenao Abe, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi:
Implementing an Integrated Time-Series Data Mining Environment Based on Temporal Pattern Extraction Methods: A Case Study of an Interferon Therapy Risk Mining for Chronic Hepatitis. JSAI Workshops 2005: 425-435 - [c4]Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, Hideaki Nakakuni, Eisuke Hanada:
Clinical Decision Support Based on Mobile Telecommunication Systems. Web Intelligence 2005: 700-703 - 2004
- [c3]Hidenao Abe, Takahira Yamaguchi:
Constructive Meta-learning with Machine Learning Method Repositories. IEA/AIE 2004: 502-511 - 2002
- [c2]Hidenao Abe, Takahira Yamaguchi:
Constructing Inductive Applications by Meta-Learning with Method Repositories. Progress in Discovery Science 2002: 576-585 - 2001
- [c1]Hiromitsu Hatazawa, Hidenao Abe, Mao Komori, Yoshiaki Tachibana, Takahira Yamaguchi:
Knowledge Discovery Support from a Meningoencephalitis Dataset Using an Automatic Composition Tool for Inductive Applications. JSAI Workshops 2001: 500-507
Parts in Books or Collections
- 2009
- [p2]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms Composed by a Constructive Meta-learning Scheme for a Rule Evaluation Support Method. Mining Complex Data 2009: 95-111 - 2008
- [p1]Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices. Communications and Discoveries from Multidisciplinary Data 2008: 269-282
Coauthor Index
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