H. Jeung, M. L. Yiu, X. Zhou, C. S. Jensen, and H. T. Shen, Discovery of Convoys in Trajectory Databases

H. Jeung, X. Zhou, and H. T. Shen, Convoy Queries in Spatio-Temporal Databases, 2008.

Z. Li, B. Ding, J. Han, and R. Kays, Swarm: Mining Relaxed Temporal Moving Object Clusters, 2010.

P. Kalnis, N. Mamoulis, and S. Bakiras, On Discovering Moving Clusters in Spatio-temporal Data, LNCS, vol.3633, 2005.

F. Verhein, Mining Complex Spatio-Temporal Sequence Patterns, 2009.

J. Gudmundsson, M. J. Van-kreveld, and B. Speckmann, Efficient detection of motion patterns in spatio-temporal data sets, GIS, 2004.

J. Gudmundsson and M. Van-kreveld, Computing Longest Duration Flocks in Trajectory Data, GIS, 2006.

L. D. Jorio, A. Laurent, and M. Teisseire, Mining Frequent Gradual Itemsets from Large Databases, Proceedings of the 8th International Symposium on Intelligent Data Analysis Lyon France, pp.297-308, 2009.

F. Berzal, J. Cubero, D. Sanchez, M. Vila, and J. Serrano, An Alternative Approach to Discover Gradual Dependencies, International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems, vol.15, issue.5, pp.559-570, 2007.

S. Ayouni, A. Laurent, S. B. Yahia, and P. Poncelet, Mining Closed Gradual Patterns. ICAISC, 2010.
URL : https://hal.archives-ouvertes.fr/lirmm-00504029

J. Yang and M. Hu, TrajPattern: Mining Sequential Patterns from Imprecise Trajectories of Mobile Object, LNCS, vol.3896, pp.664-681, 2006.

G. Al-naymat, S. Chawla, and J. Gudmundsson, Dimensionality reduction of long duration and complex spatio-temporal queries, ACM SAC, 2007.

P. Laube and S. Imfeld, Analyzing relative motion within groups of trackable moving point objects, GIS, 2002.

J. Lee, J. Han, and K. Whang, Trajectory clustering: A partition-and-group framework, SIGMOD, 2007.

Z. Li, M. Ji, J. Lee, L. Tang, Y. Yu et al., Movemine: Mining moving object databases, SIGMOD, 2010.