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Identifying Similarities, Periodicities and Bursts for Online Search Queries.

, , , and . SIGMOD Conference, page 131-142. ACM, (2004)

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Constraint-Based Rule Mining in Large, Dense Databases, , , , , , and . page 188--197. (1999)Constraint-Based Rule Mining in Large, Dense Databases., , and . Data Min. Knowl. Discov., 4 (2/3): 217-240 (2000)Anytime Measures for Top-k Algorithms., , , and . VLDB, page 914-925. ACM, (2007)Mining Time Series Data., , , , , and . Data Mining and Knowledge Discovery Handbook, Springer, (2010)Indexing Spatio-temporal Archives., , , and . Encyclopedia of GIS, Springer, (2008)Top-k Retrieval Techniques in Distributed Sensor Systems., , and . Encyclopedia of GIS, Springer, (2017)Time-Series Similarity Problems and Well-Separated Geometric Sets., , , and . Nord. J. Comput., 8 (4): 409-423 (2001)pFusion: A P2P Architecture for Internet-Scale Content-Based Search and Retrieval., , and . IEEE Trans. Parallel Distributed Syst., 18 (6): 804-817 (2007)Indexing Animated Objects Using Spatiotemporal Access Methods., , , , and . IEEE Trans. Knowl. Data Eng., 13 (5): 758-777 (2001)DIMACS Summer School Tutorial on New Frontiers in Data Mining., and . SIGMOD Record, 30 (4): 94-96 (2001)