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Conference Papers Year : 2017

Mining rare sequential patterns with ASP

Abstract

This article presents an approach of meaningful rare sequential pattern mining based on the declarative programming paradigm of Answer Set Programming (ASP). The setting of rare sequential pattern mining is introduced. Our ASP approach provides an easy manner to encode expert constraints on expected patterns to cope with the huge amount of meaningless rare patterns. Encodings are presented and quantitatively compared to a procedural baseline. An application on care pathways analysis illustrates the interest of expert constraints encoding.
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Dates and versions

hal-01569582 , version 1 (27-07-2017)

Identifiers

  • HAL Id : hal-01569582 , version 1

Cite

Ahmed Samet, Thomas Guyet, Benjamin Negrevergne. Mining rare sequential patterns with ASP. ILP 2017 - 27th International Conference on Inductive Logic Programming, Sep 2017, Orléans, France. ⟨hal-01569582⟩
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