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Kouzou Ohara: [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. Kouzou Ohara, Yukio Onishi, Noboru Babaguchi, Hiroshi Motoda
    Constructive Inductive Learning Based on Meta-attributes. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2004, pp:142-154 [Conf]
  3. Kouichi Katsurada, Makoto Koyama, Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi
    Converting Ordinary Rules into Default Rules Based on Contradiction of Knowledge Base. [Citation Graph (0, 0)][DBLP]
    EJC, 2000, pp:248-258 [Conf]
  4. Kouichi Katsurada, Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi
    On Operations for Reconstructing the Complete/Incomplete Knowledge. [Citation Graph (0, 0)][DBLP]
    EJC, 2000, pp:41-51 [Conf]
  5. Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda
    Efficient Mining of High Branching Factor Attribute Trees. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:785-788 [Conf]
  6. Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi
    An Efficient Hypothesis Search Algorithm Based on Best-Bound Search. [Citation Graph (0, 0)][DBLP]
    ILP Work-in-progress reports, 2000, pp:- [Conf]
  7. Kouzou Ohara, Takehiro Ogura, Noboru Babaguchi
    On Personalizing Video Portal System with Metadata. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1062-1069 [Conf]
  8. Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio
    Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:390-399 [Conf]
  9. Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
    Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:639-649 [Conf]
  10. Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda
    Using a Hash-Based Method for Apriori-Based Graph Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:349-361 [Conf]
  11. Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi
    On Formation of Exception Hierarchy. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1996, pp:534-545 [Conf]
  12. Kouzou Ohara, Hideyuki Taka, Noboru Babaguchi, Tadahiro Kitahashi
    Determination of General Concept in Learning Default Rules. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:104-114 [Conf]
  13. Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
    Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search. [Citation Graph (0, 0)][DBLP]
    PKAW, 2006, pp:64-74 [Conf]
  14. 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]

  15. Learning to Predict Opinion Share in Social Networks. [Citation Graph (, )][DBLP]


  16. Recommendation of Little Known Good Travel Destinations Using Word-of-Mouth Information on the Web. [Citation Graph (, )][DBLP]


  17. A Query Procedure for Allowing Exceptions in Advanced Logical Database. [Citation Graph (, )][DBLP]


  18. Selecting Information Diffusion Models over Social Networks for Behavioral Analysis. [Citation Graph (, )][DBLP]


  19. Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay. [Citation Graph (, )][DBLP]


  20. Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining. [Citation Graph (, )][DBLP]


  21. Finding Relation between PageRank and Voter Model. [Citation Graph (, )][DBLP]


  22. Acquiring Expected Influence Curve from Single Diffusion Sequence. [Citation Graph (, )][DBLP]


  23. Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. [Citation Graph (, )][DBLP]


  24. Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network. [Citation Graph (, )][DBLP]


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