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Conference Papers Year : 2018

User's Constraints in Itemset Mining

Nadjib Lazaar
Mehdi Maamar
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Abstract

Discovering significant itemsets is one of the fundamental tasks in data mining. It has recently been shown that constraint programming is a flexible way to tackle data mining tasks. With a constraint programming approach, we can easily express and efficiently answer queries with user’s constraints on itemsets. However, in many practical cases queries also involve user’s constraints on the dataset itself. For instance, in a dataset of purchases, the user may want to know which itemset is frequent and the day at which it is frequent. This paper presents a general constraint programming model able to handle any kind of query on the dataset for itemset mining.
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Dates and versions

lirmm-01896872 , version 1 (17-10-2018)

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Christian Bessiere, Nadjib Lazaar, Mehdi Maamar. User's Constraints in Itemset Mining. CP 2018 - 24th International Conference on Principles and Practice of Constraint Programming, Aug 2018, Lille, France. pp.537-553, ⟨10.1007/978-3-319-98334-9_35⟩. ⟨lirmm-01896872⟩
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