Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
We present a decision-tree-based symbolic rule induction system for categorizing text documents automatically. Our method for rule induction involves the novel combination of (1) a fast decision tree induction algorithm especially suited to text data and (2) a new method for converting a decision tree to a rule set that is simplified, but still logically equivalent to, the original tree. We report experimental results on the use of this system on some practical problems.
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007
Frank R. Libsch, Takatoshi Tsujimura
Active Matrix Liquid Crystal Displays Technology and Applications 1997
Kafai Lai, Alan E. Rosenbluth, et al.
SPIE Advanced Lithography 2007