Mining Time-constrained Sequential Patterns with Constraint Programming-Reference-Cited by-同舟云学术

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Mining Time-constrained Sequential Patterns with Constraint Programming

Published:2017-06-07 Issue:4 Volume:22 Page:548-570
ISSN:1383-7133
Container-title:Constraints
language:en
Short-container-title:Constraints

Author:

Aoga John O. R.^ORCID,Guns Tias,Schaus Pierre

Funder

Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Discrete Mathematics and Combinatorics,Software

Link

http://link.springer.com/article/10.1007/s10601-017-9272-3/fulltext.html

Reference41 articles.

1. Aggarwal, C.C., & Han, J. (2014). Frequent pattern mining. Springer.

2. Agrawal, R., & Srikant, R. (1995). Mining sequential patterns, Proceedings of the eleventh international conference on data engineering, 1995. (pp. 3–14).

3. Antunes, C., & Oliveira, A.L. (2003). Generalization of pattern-growth methods for sequential pattern mining with gap constraints. In Perner, P., & Rosenfeld, A. (Eds.), Machine learning and data mining in pattern recognition: 3rd international conference, MLDM 2003 leipzig, Germany, July 5–7, 2003 Proceedings (pp. 239–251). Berlin: Springer.

4. Aoga, J.O.R., Guns, T., & Schaus, P. (2016). An efficient algorithm for mining frequent sequence with constraint programming. In Frasconi, P., Landwehr, N., Manco, G., & Vreeken, J. (Eds.), Machine learning and knowledge discovery in databases: European conference, ECML PKDD 2016, riva del garda, Italy, September 19-23, 2016, Proceedings, Part II (pp. 315–330). Cham: Springer International Publishing.

5. Aoga, J.O.R., Guns, T., & Schaus, P. (2017). Mining time-constrained sequential patterns with constraint programming. In Salvagnin, D., & Lombardi, M. (Eds.), Integration of AI and OR techniques in constraint programming - 13th international conference, CPAIOR 2017, padova, Italy, June 5 - 8, 2017, Proceedings, Lecture Notes in Computer Science. Springer.

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