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Which "Learner Operator" should I use for a rule-based induction model?
Contributor I
Hello, I want to implement some of the properties used in experiment as in paper, "Automated Learning of Decision Rules for Text Categorization," by Chidanand Apte, Fred Damerau, and Sholom M. Weiss, ACM Transactional on Information Systems, Vol. 12, No. 3, July 1994, Pages 233-251.
But, I got stuck, because I have no idea what kinds of LearnerOperators to choose to come up with a specific rule-based induction model called SWAP-1 used in the paper above. I checked all the RuleOperators, but it seems to me nothing would support SWAP-1 algorithm. The input data to be fed into a IOOperator would be Reuters-21578 Text Categorization Collection Data Set, which is available in UCI Machine Learning Repository on the Internet.
Anyon can give me a tip?
But, I got stuck, because I have no idea what kinds of LearnerOperators to choose to come up with a specific rule-based induction model called SWAP-1 used in the paper above. I checked all the RuleOperators, but it seems to me nothing would support SWAP-1 algorithm. The input data to be fed into a IOOperator would be Reuters-21578 Text Categorization Collection Data Set, which is available in UCI Machine Learning Repository on the Internet.
Anyon can give me a tip?
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