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Mining Predictive k-CNF Expressions
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DOI：10.1109/TKDE.2009.152.png)
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Abstract
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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.
Keywords:
Concept learning
machine learning
data mining
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