Takuya Wada

Publications (5)0 Total impact

• Source

  Available from: osaka-u.ac.jp

  Article: Adaptive Ripple Down Rules method based on minimum description length principle.

  Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda, Takashi Washio
  Intell. Data Anal. 01/2004; 8:239-265.
• Conference Proceeding: Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data.

  Takuya Wada, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
  PRICAI 2002: Trends in Artificial Intelligence, 7th Pacific Rim International Conference on Artificial Intelligence, Tokyo, Japan, August 18-22, 2002, Proceedings; 01/2002
• Source

  Available from: ar.sanken.osaka-u.ac.jp

  Article: A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method.

  Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
  Knowl. Inf. Syst. 01/2001; 3:146-167.
• Conference Proceeding: Knowledge Acquisition from Both Human Expert and Data.

  Takuya Wada, Hiroshi Motoda, Takashi Washio
  Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings; 01/2001
• Source

  Available from: ar.sanken.osaka-u.ac.jp

  Conference Proceeding: Characterization of Default Knowledge in Ripple Down Rules Method.

  Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
  Methodologies for Knowledge Discovery and Data Mining, Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999, Proceedings; 01/1999