Discovering informative patterns and data cleaning.
I. Guyon, N. Matic , and V. Vapnik.
In AAAI workshop on Knowledge Discovery in Databases, KDD'94, pages 145--156, Seattle, WA.
We present a method for discovering informative patterns from data. With this method, large databases can be reduced to only a few representative data entries. Our framework also encompasses methods for cleaning databases containing corrupted data. Both on-line and off-line algorithms are proposed and experimentally checked on databases of handwritten images. The generality of the framework makes it an attractive candidate for new applications in knowledge discovery.
Keywords: knowledge discovery, machine learning, informative patterns, data cleaning, information gain.
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