ECAI 2004 Conference Paper

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Outlier Detection using Disjunctive Logic Programming

Fabrizio Angiulli, Rachel Ben-Eliyahu - Zohary, Luigi Palopoli

Assume your general knowledge about the world is encoded in a disjunctive logic program P via Answer Set Semantics. Then, assume you get factual evidence about some aspects of the current status of the world encoded in a second disjunctive logic program, say P'. A fundamental question to be answered is the following: Does the general knowledge encoding P agree with the evidence about the world as encoded in P'? In this paper we first define a formal framework suitable to discuss this question and then illustrate how difficult it is to answer that question.

Keywords: Disjunctive Logic Programming, Knowledge Discovery, Outlier Detection

Citation: Fabrizio Angiulli, Rachel Ben-Eliyahu - Zohary, Luigi Palopoli: Outlier Detection using Disjunctive Logic Programming. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.416-419.

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ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).