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Deep Learning Versus Traditional Solutions for Group Trajectory Outliers., , , , and . IEEE Trans. Cybern., 52 (6): 4508-4519 (2022)A new framework for metaheuristic-based frequent itemset mining., , , , and . Appl. Intell., 48 (12): 4775-4791 (2018)Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster., , , , , , and . Softw. Qual. J., 31 (3): 947-990 (September 2023)Fast and effective cluster-based information retrieval using frequent closed itemsets., , , and . Inf. Sci., (2018)Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things., , , , , and . IEEE Internet Things J., 10 (4): 2802-2810 (February 2023)Privacy reinforcement learning for faults detection in the smart grid., , , , and . Ad Hoc Networks, (2021)White-Box and Black-Box Fuzzing for GraphQL APIs., , and . CoRR, (2022)Single Scan Polynomial Algorithms for Frequent Itemset Mining in Big Databases., , , and . CEC, page 1453-1460. IEEE, (2019)Bees swarm optimization guided by data mining techniques for document information retrieval., , and . Expert Syst. Appl., (2018)Toward a Cognitive-Inspired Hashtag Recommendation for Twitter Data Analysis., , , and . IEEE Trans. Comput. Soc. Syst., 9 (6): 1748-1757 (2022)