Title: Learning predictive clustering rules
Authors: Ženko, Bernard
Džeroski, Sašo
Struyf, Jan
Issue Date: 2005
Host Document: Proceedings of the Fourth International Workshop on Knowledge Discovery in Inductive Databases pages:122-133
Conference: International Workshop on Knowledge Discovery in Inductive Databases edition:4 location:Porto, Portugal date:October 3-7, 2005
Abstract: The two most commonly addressed data mining tasks are predictive modelling and clustering. Here we address the task of predictive clustering, which contains elements of both and generalizes them to some extent. We propose a novel approach to predictive clustering called predictive clustering rules, present an initial implementation and its preliminary experimental evaluation.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section

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