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Group RFM analysis as a novel framework to discover better customer consumption behavior.

, and . Expert Syst. Appl., 38 (12): 14499-14513 (2011)

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Group RFM analysis as a novel framework to discover better customer consumption behavior., and . Expert Syst. Appl., 38 (12): 14499-14513 (2011)A Collusion Avoidance Node Selection Scheme for Social Network-Based Distributed Data Storage., and . MDM, page 507-512. IEEE, (2019)Mining Uncertain Sequence Data on Hadoop Platform., , and . PAKDD Workshops, volume 8643 of Lecture Notes in Computer Science, page 204-215. Springer, (2014)Mining Group Movement Patterns for Tracking Moving Objects Efficiently., , and . IEEE Trans. Knowl. Data Eng., 23 (2): 266-281 (2011)SST: Privacy Preserving for Semantic Trajectories., and . MDM (2), page 80-85. IEEE Computer Society, (2015)978-1-4799-9972-9.An intelligent personalized traffic information extraction system for road traffic safety., , and . ICCE-TW, page 196-197. IEEE, (2015)Counting People by Using Convolutional Neural Network and A PIR Array., , , , , and . MDM, page 342-347. IEEE, (2020)KAMP: Preserving k-Anonymity for Combinations of Patterns., and . MDM (2), page 97. IEEE Computer Society, (2013)978-1-4673-6068-5.SIFA: A Scalable File System with Intelligent File Allocation., , , , and . COMPSAC, page 793-798. IEEE Computer Society, (2002)Cloaking sensitive patterns Td preserve location privacy for LBS applications., , , and . ICCE-TW, page 1-2. IEEE, (2016)