Spatio-sequential patterns mining: Beyond the boundaries

Author:

Alatrista-Salas Hugo123,Bringay Sandra4,Flouvat Frédéric2,Selmaoui-Folcher Nazha2,Teisseire Maguelonne1

Affiliation:

1. Irstea-TETIS, Montpellier, France

2. PPME, Noumea, New Caledonia

3. Pontificia Universidad Católica del Perú, San Miguel, Lima, Perú

4. LIRMM, Montpellier, France

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference27 articles.

1. Agrawal R. and Srikant R., Fast algorithms for mining association rules in large databases, in: Proceedings of the 20th International Conference on Very Large Data Bases, VLDB '94, San Francisco, CA, USA, Morgan Kaufmann Publishers Inc. (1994), 487-499.

2. Agrawal R. and Srikant R., Mining sequential patterns, Data Engineering, International Conference on 0 (1995), 3.

3. Alatrista-Salas H., Bringay S., Flouvat F., Selmaoui-Folcher N. and Teisseire M., The pattern next door: Towards spatio-sequential pattern discovery, in: Proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'12), (Jun 2012).

4. Cao H., Mamoulis N. and Cheung D., Mining frequent spatio-temporal sequential patterns, Proc of IEEE ICDM, (2005), 82-89.

5. Celik M., Shekhar S., Rogers J. and Shine J., Mixed-drove spatiotemporal co-occurrence pattern mining, Proc of IEEE TKDE 20(10) (2008), 1322-1335.

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