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Hideto Yokoi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, Katsuhiko Takabayashi
    Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:126-151 [Conf]
  2. Miho Ohsaki, Shinya Kitaguchi, Hideto Yokoi, Takahira Yamaguchi
    Investigation of Rule Interestingness in Medical Data Mining. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:174-189 [Conf]
  3. Muneaki Ohshima, Tomohiro Okuno, Yasuo Fujita, Ning Zhong, Juzhen Dong, Hideto Yokoi
    Spiral Multi-aspect Hepatitis Data Mining. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:210-235 [Conf]
  4. Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhiko Takabayashi
    Experimental Evaluation of Time-Series Decision Tree. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:190-209 [Conf]
  5. Einoshin Suzuki, Takeshi Watanabe, Hideto Yokoi, Katsuhiko Takabayashi
    Detecting Interesting Exceptions from Medical Test Data with Visual Summarization. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:315-322 [Conf]
  6. 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]
  7. Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhiko Takabayashi
    Decision-tree Induction from Time-series Data Based on a Standard-example Split Test. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:840-847 [Conf]
  8. Miho Ohsaki, Yoshinori Sato, Shinya Kitaguchi, Hideto Yokoi, Takahira Yamaguchi
    Comparison between Objective Interestingness Measures and Real Human Interest in Medical Data Mining. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2004, pp:1072-1081 [Conf]
  9. Masatoshi Jumi, Einoshin Suzuki, Muneaki Ohshima, Ning Zhong, Hideto Yokoi, Katsuhiko Takabayashi
    Multi-strategy Instance Selection in Mining Chronic Hepatitis Data. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:475-484 [Conf]
  10. 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]
  11. Tu Bao Ho, Trong Dung Nguyen, Saori Kawasaki, Si Quang Le, DucDung Nguyen, Hideto Yokoi, Katsuhiko Takabayashi
    Mining hepatitis data with temporal abstraction. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:369-377 [Conf]
  12. Miho Ohsaki, Shinya Kitaguchi, Kazuya Okamoto, Hideto Yokoi, Takahira Yamaguchi
    Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:362-373 [Conf]
  13. 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]
  14. Muneaki Ohshima, Ning Zhong, Hideto Yokoi, Y. Y. Yao
    Analyzing hepatitis data using ordered information. [Citation Graph (0, 0)][DBLP]
    GrC, 2005, pp:599-604 [Conf]
  15. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Hideto Yokoi, Katsuhiko Takabayashi
    Constructing a Decision Tree for Graph-Structured Data and its Applications. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2005, v:66, n:1-2, pp:131-160 [Journal]

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


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


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


  19. Temporal Abstraction and Data Mining with Visualization of Laboratory Data. [Citation Graph (, )][DBLP]


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


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