Publications

Discovery of toxicological patterns with lazy learning

Publication Type:

Conference Paper

Authors:

Eva Armengol; Enric Plaza

Source:

Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, Springer, Volume 2774, p.919 - 926 (2003)

Abstract:

In this paper we propose the use of a lazy learning technique called LID for discovering patterns in the Toxicology dataset. LID classifies examples and builds an explanation of that classification. We analyzed the Toxicology dataset using a two-step proces: first we use LID for classifying all the cases in the dataset. Then we select a subset of explanations and use them as patterns that capture structural regularities (patterns) among carcinogenic chemical compounds.

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