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Publications of Author

1. DucDung Nguyen, Tu Bao Ho
   Speeding-up Model Selection for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
   FLAIRS Conference, 2005, pp:436-441 [Conf]
   
2. DucDung Nguyen, Tu Bao Ho
   An efficient method for simplifying support vector machines. [Citation Graph (0, 0)][DBLP]
   ICML, 2005, pp:617-624 [Conf]
   
3. Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen
   A User-Centered Visual Approach to Data Mining: The System D2MS. [Citation Graph (0, 0)][DBLP]
   Intelligent Information Processing, 2002, pp:213-224 [Conf]
   
4. Tu Bao Ho, DucDung Nguyen, Saori Kawasaki
   Mining Prediction Rules from Minority Classes. [Citation Graph (0, 0)][DBLP]
   INAP, 2001, pp:254-265 [Conf]
   
5. Tu Bao Ho, Saori Kawasaki, DucDung Nguyen
   Extracting Meningitis Knowledge by Integration of Rule Induction and Association Mining. [Citation Graph (0, 0)][DBLP]
   JSAI Workshops, 2001, pp:508-515 [Conf]
   
6. 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]
   
7. Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen
   Visualization support for a user-centered KDD process. [Citation Graph (0, 0)][DBLP]
   KDD, 2002, pp:519-524 [Conf]
   
8. Trong Dung Nguyen, Tu Bao Ho, DucDung Nguyen
   Data and Knowledge Visualization in Knowledge Discovery Process. [Citation Graph (0, 0)][DBLP]
   VISUAL, 2002, pp:311-322 [Conf]
   
9. Tu Bao Ho, Trong Dung Nguyen, DucDung Nguyen, Saori Kawasaki
   Visualization Support for User-Centered Model Selection in Knowledge Discovery and Data Mining. [Citation Graph (0, 0)][DBLP]
   International Journal on Artificial Intelligence Tools, 2001, v:10, n:4, pp:691-713 [Journal]
   
10. Tu Bao Ho, DucDung Nguyen
    Chance Discovery and Learning Minority Classes. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 2003, v:21, n:2, pp:- [Journal]
    
11. 
    Knowledge visualization in hepatitis study. [Citation Graph (, )][DBLP]
    
    
12. 
    Multi-class Support Vector Machine Simplification. [Citation Graph (, )][DBLP]
    
    
13. 
    Two-stage incremental working set selection for fast support vector training on large datasets. [Citation Graph (, )][DBLP]