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A Framework for Discovering Spatio-temporal Cohesive Networks.

, and . PAKDD, volume 5012 of Lecture Notes in Computer Science, page 1056-1061. Springer, (2008)

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Discovery of Co-evoluting Spatial Co-located Event Sets., , , and . SDM, page 306-315. SIAM, (2006)Incremental and parallel spatial association mining., and . BigData, page 75-76. IEEE Computer Society, (2014)A Joinless Approach for Mining Spatial Colocation Patterns., and . IEEE Trans. Knowl. Data Eng., 18 (10): 1323-1337 (2006)Navigation Systems: A Spatial Database Perspective., , , and . Location-Based Services, Morgan Kaufmann, (2004)Finding N-Most Prevalent Colocated Event Sets., and . DaWaK, volume 5691 of Lecture Notes in Computer Science, page 415-427. Springer, (2009)Mining Maximal Co-located Event Sets., and . PAKDD (1), volume 6634 of Lecture Notes in Computer Science, page 351-362. Springer, (2011)Mining Course Trajectories of Successful and Failure Students: A Case Study., , and . ICBK, page 270-275. IEEE Computer Society, (2017)Mining Temporal Association Patterns under a Similarity Constraint., and . SSDBM, volume 5069 of Lecture Notes in Computer Science, page 401-417. Springer, (2008)Finding characteristics of exceptional breast cancer subpopulations using subgroup mining and statistical test., , and . Expert Syst. Appl., (2019)Mining spatial colocation patterns: a different framework., and . Data Min. Knowl. Discov., 24 (1): 159-194 (2012)