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A Support-Ordered Trie for Fast Frequent Itemset Discovery.

, , and . IEEE Trans. Knowl. Data Eng., 16 (7): 875-879 (2004)

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Heterogeneous Ensemble for Feature Drifts in Data Streams., , , and . PAKDD (2), volume 7302 of Lecture Notes in Computer Science, page 1-12. Springer, (2012)A survey on data stream clustering and classification., , and . Knowl. Inf. Syst., 45 (3): 535-569 (2015)Fast Online Dynamic Association Rule Mining., , and . WISE (1), page 278-287. IEEE Computer Society, (2001)Efficient Web Log Mining for Product Development., , , and . CW, page 294-301. IEEE Computer Society, (2003)Closed motifs for streaming time series classification., , and . Knowl. Inf. Syst., 41 (1): 101-125 (2014)Rapid Association Rule Mining., , and . CIKM, page 474-481. ACM, (2001)A Support-Ordered Trie for Fast Frequent Itemset Discovery., , and . IEEE Trans. Knowl. Data Eng., 16 (7): 875-879 (2004)Online and Incremental Mining of Separately-Grouped Web Access Logs., , and . WISE, page 53-62. IEEE Computer Society, (2002)Concurrent Semi-supervised Learning of Data Streams., , , and . DaWaK, volume 6862 of Lecture Notes in Computer Science, page 445-459. Springer, (2011)MICHO: a scalable constraint-based algorithm for learning Bayesian networks., , and . SAC, page 985-989. ACM, (2010)