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Predicting MRT Trips in Singapore by Creating a Mobility Behavior Model Based on GSM Data.

, and . ICDM Workshops, page 632-639. IEEE, (2018)

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Finding Subspace Clusters Using Ranked Neighborhoods., , , and . ICDM Workshops, page 831-838. IEEE Computer Society, (2015)Efficient Cluster Detection by Ordered Neighborhoods., , and . DaWaK, volume 9263 of Lecture Notes in Computer Science, page 15-27. Springer, (2015)Improving DBSCAN's execution time by using a pruning technique on bit vectors., and . Pattern Recognit. Lett., 32 (13): 1572-1580 (2011)Predicting MRT Trips in Singapore by Creating a Mobility Behavior Model Based on GSM Data., and . ICDM Workshops, page 632-639. IEEE, (2018)Frequent Itemset Mining for Big Data., , and . IEEE BigData, page 111-118. IEEE Computer Society, (2013)Finding subspace clusters using local neighborhoods. University of Antwerp, Belgium, (2015)DICLENS: Divisive Clustering Ensemble with Automatic Cluster Number., and . IEEE ACM Trans. Comput. Biol. Bioinform., 9 (2): 408-420 (2012)Identifying Cell Sector Clusters Using Massive Mobile Usage Records., and . WCNC, page 1-6. IEEE, (2020)