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Research on particle swarm optimization based clustering: A systematic review of literature and techniques., , , , and . Swarm Evol. Comput., (2014)Non-Redundant Rare Itemset Generation., and . AusDM, volume 101 of CRPIT, page 69-74. Australian Computer Society, (2009)Generating Realistic Online Auction Data., , and . Australasian Conference on Artificial Intelligence, volume 7691 of Lecture Notes in Computer Science, page 120-131. Springer, (2012)Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection., , and . Australasian Conference on Artificial Intelligence, volume 11320 of Lecture Notes in Computer Science, page 630-642. Springer, (2018)Rare Association Rule Mining via Transaction Clustering., and . AusDM, volume 87 of CRPIT, page 87-94. Australian Computer Society, (2008)Detecting online auction shilling frauds using supervised learning., , , and . Expert Syst. Appl., 41 (6): 3027-3040 (2014)Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization., , , and . SIS, page 147-154. IEEE, (2013)Analysis of Web Usage Data for Clustering Based Recommender System., , , and . PAAMS (Special Sessions), volume 221 of Advances in Intelligent Systems and Computing, page 171-179. Springer, (2013)Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency., , , , , and . Data Min. Knowl. Discov., 35 (3): 796-836 (2021)Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata., , and . Empir. Softw. Eng., 28 (1): 26 (2023)