Liat Ein-Dor, Y. Goldschmidt, et al.
IBM J. Res. Dev
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.
Liat Ein-Dor, Y. Goldschmidt, et al.
IBM J. Res. Dev
Robert C. Durbeck
IEEE TACON
N.K. Ratha, A.K. Jain, et al.
Workshop CAMP 2000
Ehud Altman, Kenneth R. Brown, et al.
PRX Quantum