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Time-weighted counting for recently frequent pattern mining in data streams.

, and . Knowl. Inf. Syst., 53 (2): 391-422 (2017)

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MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams., and . KDD, page 685-694. ACM, (2015)Multi-Agent Reinforcement Learning Based Actuator Control for EV HVAC Systems., , , , , , , , , and . IEEE Access, (2023)Memory-Efficient and Accurate Sampling for Counting Local Triangles in Graph Streams: From Simple to Multigraphs., , and . ACM Trans. Knowl. Discov. Data, 12 (1): 4:1-4:28 (2018)Time-weighted counting for recently frequent pattern mining in data streams., and . Knowl. Inf. Syst., 53 (2): 391-422 (2017)FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams., , , and . Data Min. Knowl. Discov., 33 (5): 1225-1253 (2019)Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction., , , , , , , and . CoRR, (2017)MTP: discovering high quality partitions in real world graphs., , , and . World Wide Web, 20 (3): 491-514 (2017)FURL: Fixed-memory and Uncertainty Reducing Local Triangle Counting for Graph Streams., , , and . CoRR, (2016)Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams., , and . CIKM, page 1109-1118. ACM, (2014)RaPP: Novelty Detection with Reconstruction along Projection Pathway., , , , , , and . ICLR, OpenReview.net, (2020)