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Hidenao Abe: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hidenao Abe, Takahira Yamaguchi
    Constructing Inductive Applications by Meta-Learning with Method Repositories. [Citation Graph (0, 0)][DBLP]
    Progress in Discovery Science, 2002, pp:576-585 [Conf]
  2. 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. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:169-174 [Conf]
  3. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:549-552 [Conf]
  4. Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi
    Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:759-764 [Conf]
  5. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:305-310 [Conf]
  6. Hidenao Abe, Takahira Yamaguchi
    Constructive Meta-learning with Machine Learning Method Repositories. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2004, pp:502-511 [Conf]
  7. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:379-388 [Conf]
  8. 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. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2005, pp:425-435 [Conf]
  9. 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. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2001, pp:500-507 [Conf]
  10. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts. [Citation Graph (0, 0)][DBLP]
    MDAI, 2006, pp:93-104 [Conf]
  11. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:509-519 [Conf]
  12. Hidenao Abe, Takahira Yamaguchi
    Constructive Meta-level Feature Selection Method Based on Method Repositories. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:70-80 [Conf]
  13. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:687-695 [Conf]
  14. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Developing a Rule Evaluation Support Method Based on Objective Indices. [Citation Graph (0, 0)][DBLP]
    RSKT, 2006, pp:456-461 [Conf]
  15. Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, Hideaki Nakakuni, Eisuke Hanada
    Clinical Decision Support Based on Mobile Telecommunication Systems. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2005, pp:700-703 [Conf]
  16. 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. [Citation Graph (0, 0)][DBLP]
    PKAW, 2006, pp:75-88 [Conf]
  17. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi
    Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:934-941 [Conf]

  18. Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices. [Citation Graph (, )][DBLP]


  19. Evaluating a method to detect temporal trends of phrases in research documents. [Citation Graph (, )][DBLP]


  20. Analysis of Research Keys as Tempral Patterns of Technical Term Usages in Bibliographical Data. [Citation Graph (, )][DBLP]


  21. Evaluating Accuracies of a Trading Rule Mining Method Based on Temporal Pattern Extraction. [Citation Graph (, )][DBLP]


  22. Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining. [Citation Graph (, )][DBLP]


  23. Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets. [Citation Graph (, )][DBLP]


  24. Detecting Similarity of Transferring Datasets Based on Features of Classification Rules. [Citation Graph (, )][DBLP]


  25. Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient. [Citation Graph (, )][DBLP]


  26. Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression. [Citation Graph (, )][DBLP]


  27. Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient. [Citation Graph (, )][DBLP]


  28. Evaluation of a Classification Rule Mining Algorithm Based on Secondary Differences. [Citation Graph (, )][DBLP]


  29. Detecting Temporal Patterns of Importance Indices about Technical Phrases. [Citation Graph (, )][DBLP]


  30. Finding Functional Groups of Objective Rule Evaluation Indices Using PCA. [Citation Graph (, )][DBLP]


  31. Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria. [Citation Graph (, )][DBLP]


  32. Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method. [Citation Graph (, )][DBLP]


  33. Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules. [Citation Graph (, )][DBLP]


  34. A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single Indices. [Citation Graph (, )][DBLP]


  35. Evaluating learning algorithms for a rule evaluation support method. [Citation Graph (, )][DBLP]


  36. Pearson Residuals in Multi-way Contingency Tables. [Citation Graph (, )][DBLP]


  37. Detecting Temporal Patterns of Technical Phrases by using Importance Indices in a Research Documents. [Citation Graph (, )][DBLP]


  38. Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases. [Citation Graph (, )][DBLP]


  39. Detection of trends of technical phrases in text mining. [Citation Graph (, )][DBLP]


  40. Multivariate statistical independence and contingency tables. [Citation Graph (, )][DBLP]


  41. Investigating Accuracies of Rule Evaluation Models on Randomized Labeling and Human Evaluation. [Citation Graph (, )][DBLP]


  42. Evaluating Learning Models with Transitions of Human Interests Based on Objective Rule Evaluation Indices. [Citation Graph (, )][DBLP]


  43. Evaluation of rule interestingness measures in medical knowledge discovery in databases. [Citation Graph (, )][DBLP]


  44. Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices. [Citation Graph (, )][DBLP]


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