Mining (soft-) skypatterns using dynamic CSP

Willy Ugarte Rojas; Patrice Boizumault; Samir Loudni; Bruno Crémilleux; Alban Lepailleur

doi:10.1007/978-3-319-07046-9_6

Mining (soft-) skypatterns using dynamic CSP

Willy Ugarte Rojas
, Patrice Boizumault
, Samir Loudni
, Bruno Crémilleux
, Alban Lepailleur

University of Caen Basse-Normandie
University of Caen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Scopus citations

Abstract

Within the pattern mining area, skypatterns enable to express a user-preference point of view according to a dominance relation. In this paper, we deal with the introduction of softness in the skypattern mining problem. First, we show how softness can provide convenient patterns that would be missed otherwise. Then, thanks to Dynamic CSP, we propose a generic and efficient method to mine skypatterns as well as soft ones. Finally, we show the relevance and the effectiveness of our approach through a case study in chemoinformatics and experiments on UCI benchmarks.

Original language	English
Title of host publication	Integration of AI and OR Techniques in Constraint Programming - 11th International Conference, CPAIOR 2014, Proceedings
Publisher	Springer Verlag
Pages	71-87
Number of pages	17
ISBN (Print)	9783319070452
DOIs	https://doi.org/10.1007/978-3-319-07046-9_6
State	Published - 2014
Externally published	Yes
Event	11th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2014 - Cork, Ireland Duration: 19 May 2014 → 23 May 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8451 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2014
Country/Territory	Ireland
City	Cork
Period	19/05/14 → 23/05/14

Access to Document

10.1007/978-3-319-07046-9_6

Cite this

Ugarte Rojas, W., Boizumault, P., Loudni, S., Crémilleux, B., & Lepailleur, A. (2014). Mining (soft-) skypatterns using dynamic CSP. In Integration of AI and OR Techniques in Constraint Programming - 11th International Conference, CPAIOR 2014, Proceedings (pp. 71-87). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8451 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-07046-9_6

Ugarte Rojas, Willy ; Boizumault, Patrice ; Loudni, Samir et al. / Mining (soft-) skypatterns using dynamic CSP. Integration of AI and OR Techniques in Constraint Programming - 11th International Conference, CPAIOR 2014, Proceedings. Springer Verlag, 2014. pp. 71-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Mining (soft-) skypatterns using dynamic CSP",

abstract = "Within the pattern mining area, skypatterns enable to express a user-preference point of view according to a dominance relation. In this paper, we deal with the introduction of softness in the skypattern mining problem. First, we show how softness can provide convenient patterns that would be missed otherwise. Then, thanks to Dynamic CSP, we propose a generic and efficient method to mine skypatterns as well as soft ones. Finally, we show the relevance and the effectiveness of our approach through a case study in chemoinformatics and experiments on UCI benchmarks.",

author = "\{Ugarte Rojas\}, Willy and Patrice Boizumault and Samir Loudni and Bruno Cr{\'e}milleux and Alban Lepailleur",

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booktitle = "Integration of AI and OR Techniques in Constraint Programming - 11th International Conference, CPAIOR 2014, Proceedings",

note = "11th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2014 ; Conference date: 19-05-2014 Through 23-05-2014",

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Ugarte Rojas, W, Boizumault, P, Loudni, S, Crémilleux, B & Lepailleur, A 2014, Mining (soft-) skypatterns using dynamic CSP. in Integration of AI and OR Techniques in Constraint Programming - 11th International Conference, CPAIOR 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8451 LNCS, Springer Verlag, pp. 71-87, 11th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2014, Cork, Ireland, 19/05/14. https://doi.org/10.1007/978-3-319-07046-9_6

Mining (soft-) skypatterns using dynamic CSP. / Ugarte Rojas, Willy; Boizumault, Patrice; Loudni, Samir et al.
Integration of AI and OR Techniques in Constraint Programming - 11th International Conference, CPAIOR 2014, Proceedings. Springer Verlag, 2014. p. 71-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8451 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Mining (soft-) skypatterns using dynamic CSP

AU - Ugarte Rojas, Willy

AU - Boizumault, Patrice

AU - Loudni, Samir

AU - Crémilleux, Bruno

AU - Lepailleur, Alban

PY - 2014

Y1 - 2014

N2 - Within the pattern mining area, skypatterns enable to express a user-preference point of view according to a dominance relation. In this paper, we deal with the introduction of softness in the skypattern mining problem. First, we show how softness can provide convenient patterns that would be missed otherwise. Then, thanks to Dynamic CSP, we propose a generic and efficient method to mine skypatterns as well as soft ones. Finally, we show the relevance and the effectiveness of our approach through a case study in chemoinformatics and experiments on UCI benchmarks.

AB - Within the pattern mining area, skypatterns enable to express a user-preference point of view according to a dominance relation. In this paper, we deal with the introduction of softness in the skypattern mining problem. First, we show how softness can provide convenient patterns that would be missed otherwise. Then, thanks to Dynamic CSP, we propose a generic and efficient method to mine skypatterns as well as soft ones. Finally, we show the relevance and the effectiveness of our approach through a case study in chemoinformatics and experiments on UCI benchmarks.

UR - https://www.scopus.com/pages/publications/84902477798

U2 - 10.1007/978-3-319-07046-9_6

DO - 10.1007/978-3-319-07046-9_6

M3 - Contribución a la conferencia

AN - SCOPUS:84902477798

SN - 9783319070452

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 71

EP - 87

BT - Integration of AI and OR Techniques in Constraint Programming - 11th International Conference, CPAIOR 2014, Proceedings

PB - Springer Verlag

T2 - 11th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2014

Y2 - 19 May 2014 through 23 May 2014

ER -

Ugarte Rojas W, Boizumault P, Loudni S, Crémilleux B, Lepailleur A. Mining (soft-) skypatterns using dynamic CSP. In Integration of AI and OR Techniques in Constraint Programming - 11th International Conference, CPAIOR 2014, Proceedings. Springer Verlag. 2014. p. 71-87. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-07046-9_6

Mining (soft-) skypatterns using dynamic CSP

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