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Mining Trajectory Databases via a Suite of Distance Operators.

, , , , and . ICDE Workshops, page 575-584. IEEE Computer Society, (2007)

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Pattern-Miner: integrated management and mining over data mining models., , , and . KDD, page 1081-1084. ACM, (2008)Comparing Datasets Using Frequent Itemsets: Dependency on the Mining Parameters., and . SETN, volume 5138 of Lecture Notes in Computer Science, page 212-225. Springer, (2008)Mining the Volatile Web, , and . Tutorial at the 16th Europ. Conf. on Machine Learning and9th Europ. Conf. on Principles and Practice ofKnowledge Discovery in Databases (ECML/PKDD'05), (October 2005)The MONIC framework for cluster transition detection, , , and . 5th Hellenic Data Management Symposium, 7-8 September 2006, Thessaloniki, Greece; proceedings. - Thessaloniki, page 90-99. (2006)Revealing Cluster Formation over Huge Volatile Robotic Data., , , , and . ICDM Workshops, page 450-457. IEEE Computer Society, (2011)Monitoring Patterns through an Integrated Management and Mining Tool., , , and . ECML/PKDD (2), volume 5212 of Lecture Notes in Computer Science, page 678-683. Springer, (2008)The Panda framework for Comparing Patterns., , , , and . Data Knowl. Eng., 68 (2): 244-260 (2009)Towards subspace clustering on dynamic data: an incremental version of PreDeCon., , , and . StreamKDD@KDD, page 31-38. ACM, (2010)Mining Trajectory Databases via a Suite of Distance Operators., , , , and . ICDE Workshops, page 575-584. IEEE Computer Society, (2007)Summarizing Cluster Evolution in Dynamic Environments., , and . ICCSA (2), volume 6783 of Lecture Notes in Computer Science, page 562-577. Springer, (2011)