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Mining Predictive k-CNF Expressions

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3 Author(s)
Dries, A. ; Dept. of Comput. Sci., Katholieke Univ. Leuven, Leuven, Belgium ; De Raedt, L. ; Nijssen, S.

We adapt Mitchell's version space algorithm for mining k-CNF formulas. Advantages of this algorithm are that it runs in a single pass over the data, is conceptually simple, can be used for missing value prediction, and has interesting theoretical properties, while an empirical evaluation on classification tasks yields competitive predictive results.

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:22 ,  Issue: 5 )

Date of Publication:

May 2010

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