COPPER - Constraint OPtimized Prefixspan for Epidemiological Research

Author:

Guevara-Cogorno Agustin,Flamand Claude,Alatrista-Salas Hugo

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

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2. Wang, K., Xu, Y., Yu, J.X. Scalable sequential pattern mining for biological sequences. In: CIKM’04: Proceedings of the thirteenth ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM. ISBN 1-58113-874-1; 2004, p. 178-187. doi:http://doi.acm.org/10.1145/1031171.1031209.

3. Pei, J., Han, J., Mortazavi-Asl, B., Zhu, H. Mining access patterns efficiently from web logs. In: Terano, T., Liu, H., Chen, A.L.P., editors. Knowledge Discovery and Data Mining, Current Issues and New Applications, 4th Pacific-Asia Conference, PADKK 2000, Kyoto, Japan, April 18-20, 2000, Proceedings; Lecture Notes in Computer Science. Springer; 2000, p. 396-407.

4. Rabatel, J., Bringay, S., Poncelet, P. Aide a‘la décision pour la maintenance ferroviaire préventive. In: Yahia, S.B., Petit, J.M., editors. Extraction et gestion des connaissances (EGC’2010), Actes, 26 au 29 janvier 2010, Hammamet, Tunisie; Revue des Nouvelles Technologies de l’Information. Cépadue‘s-É ditions; 2010, p. 363-368.

5. Perera, D., Kay, J., Koprinska, I., Yacef, K., Zäıane, O.R. Clustering and sequential pattern mining of online collaborative learning data. IEEE Transactions on Knowledge and Data Engineering 2009; 21(6):pages 759-772. doi:http://dx.doi.org/10.1109/TKDE. 2008.138.

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