Title: Discovery of frequent DATALOG patterns
Authors: Dehaspe, Luc ×
Toivonen, H #
Issue Date: Mar-1999
Publisher: Kluwer academic publ
Series Title: Data mining and knowledge discovery vol:3 issue:1 pages:7-36
Abstract: Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent itemsets, i.e., all combinations of items that are found in a sufficient number of examples. The fundamental task of association rule and frequent set discovery has been extended in various directions, allowing more useful patterns to be discovered with special purpose algorithms. We present WARMR, a general purpose inductive logic programming algorithm that addresses frequent query discovery: a very general DATALOG formulation of the frequent pattern discovery problem.
ISSN: 1384-5810
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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