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Detecting the Data Group Most Prone to a Specific Disguise Value.

, and . PAKDD Workshops, volume 8643 of Lecture Notes in Computer Science, page 100-111. Springer, (2014)

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On adapting migration parameters for multi-population genetic algorithms., , and . SMC (6), page 5731-5735. IEEE, (2004)Applying genetic algorithms to game search trees., , and . Soft Comput., 6 (3-4): 277-283 (2002)Mining Generalized Association Rules in an Evolving Environment., and . Encyclopedia of Data Warehousing and Mining, IGI Global, (2009)Dynamic migration in multiple ant colonies., , , , and . CYBCONF, page 146-150. IEEE, (2015)Incremental maintenance of generalized association rules under taxonomy evolution., , and . J. Inf. Sci., 34 (2): 174-195 (2008)A joint consideration of channel assignment and multicast routing in MCMR WMNs., and . CHINACOM, page 642-647. IEEE, (2012)Adversarial Search by Evolutionary Computation., , and . Evol. Comput., 9 (3): 371-385 (2001)A Confidence-Lift Support Specification for Interesting Associations Mining., , and . PAKDD, volume 2336 of Lecture Notes in Computer Science, page 148-158. Springer, (2002)Incremental Mining of Ontological Association Rules in Evolving Environments., and . IEA/AIE, volume 5579 of Lecture Notes in Computer Science, page 142-151. Springer, (2009)Detecting the Data Group Most Prone to a Specific Disguise Value., and . PAKDD Workshops, volume 8643 of Lecture Notes in Computer Science, page 100-111. Springer, (2014)