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Association Rules Discovery via Approximate Method from Probabilistic Database.

, , and . Trustcom/BigDataSE/ISPA, page 909-914. IEEE, (2016)

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Glad: Global And Local Anomaly Detection., , and . ICME, page 1-6. IEEE, (2020)Approximation of Probabilistic Maximal Frequent Itemset Mining Over Uncertain Sensed Data., , , , and . IEEE Access, (2020)Association Rules Discovery via Approximate Method from Probabilistic Database., , and . Trustcom/BigDataSE/ISPA, page 909-914. IEEE, (2016)ElaX: Provisioning Resource Elastically for Containerized Online Cloud Services., , , , , and . HPCC/SmartCity/DSS, page 1987-1994. IEEE, (2019)RLTree: Website Fingerprinting Through Resource Loading Tree., , and . NSS, volume 13041 of Lecture Notes in Computer Science, page 3-16. Springer, (2021)Deeplive: QoE Optimization for Live Video Streaming through Deep Reinforcement Learning., , , , and . ICPADS, page 827-831. IEEE, (2019)NetCruiser: Localize Network Failures by Learning from Latency Data., , , , and . SmartIoT, page 23-30. IEEE, (2020)Probabilistic Frequent Itemsets Mining Based on Expectation Bound over Uncertain Database., , , , and . ISPAN-FCST-ISCC, page 14-19. IEEE Computer Society, (2017)Discovering probabilistic frequent closed itemsets in uncertain database with tuple uncertainty., , , , and . Comput. Syst. Sci. Eng., (2016)XShot: Light-weight Link Failure Localization using Crossed Probing Cycles in SDN., , , , , and . ICPP, page 56:1-56:11. ACM, (2020)