Computation of skypattern cubes

Willy Ugarte; Patrice Boizumault; Samir Loudni; Bruno Crémilleux

Computation of skypattern cubes

Willy Ugarte
, Patrice Boizumault
, Samir Loudni
, Bruno Crémilleux

University of Caen Basse-Normandie

Research output: Contribution to conference › Paper › peer-review

Abstract

In [[]5], we introduce skypattern cubes and propose an efficient bottom-up approach to compute them. Our approach relies on derivation rules collecting skypatterns of a parent node from its child nodes without any dominance test. Non-derivable skypatterns are computed on the fly thanks to Dynamic CSP. The bottom-up principle enables to provide a concise representation of the cube based on skypattern equivalence classes without any supplementary effort. Experiments on mutagenicity datasets show the effectiveness of our proposal.

Original language	English
Pages	274-275
Number of pages	2
State	Published - 2015
Externally published	Yes
Event	11th French Speaking Symposium on Constraint Programming, JFPC 2015 - Bordeaux, France Duration: 22 Jun 2015 → 24 Jun 2015

Conference

Conference	11th French Speaking Symposium on Constraint Programming, JFPC 2015
Country/Territory	France
City	Bordeaux
Period	22/06/15 → 24/06/15

Cite this

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title = "Computation of skypattern cubes",

abstract = "In [[]5], we introduce skypattern cubes and propose an efficient bottom-up approach to compute them. Our approach relies on derivation rules collecting skypatterns of a parent node from its child nodes without any dominance test. Non-derivable skypatterns are computed on the fly thanks to Dynamic CSP. The bottom-up principle enables to provide a concise representation of the cube based on skypattern equivalence classes without any supplementary effort. Experiments on mutagenicity datasets show the effectiveness of our proposal.",

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T1 - Computation of skypattern cubes

AU - Ugarte, Willy

AU - Boizumault, Patrice

AU - Loudni, Samir

AU - Crémilleux, Bruno

PY - 2015

Y1 - 2015

N2 - In [[]5], we introduce skypattern cubes and propose an efficient bottom-up approach to compute them. Our approach relies on derivation rules collecting skypatterns of a parent node from its child nodes without any dominance test. Non-derivable skypatterns are computed on the fly thanks to Dynamic CSP. The bottom-up principle enables to provide a concise representation of the cube based on skypattern equivalence classes without any supplementary effort. Experiments on mutagenicity datasets show the effectiveness of our proposal.

AB - In [[]5], we introduce skypattern cubes and propose an efficient bottom-up approach to compute them. Our approach relies on derivation rules collecting skypatterns of a parent node from its child nodes without any dominance test. Non-derivable skypatterns are computed on the fly thanks to Dynamic CSP. The bottom-up principle enables to provide a concise representation of the cube based on skypattern equivalence classes without any supplementary effort. Experiments on mutagenicity datasets show the effectiveness of our proposal.

UR - https://www.scopus.com/pages/publications/84983121563

M3 - Artículo

AN - SCOPUS:84983121563

SP - 274

EP - 275

T2 - 11th French Speaking Symposium on Constraint Programming, JFPC 2015

Y2 - 22 June 2015 through 24 June 2015

ER -

Computation of skypattern cubes

Abstract

Conference

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