Spatio-sequential patterns mining: Beyond the boundaries
Author:
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.
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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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