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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]