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Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support.

, , , and . Australasian Conference on Artificial Intelligence, volume 7691 of Lecture Notes in Computer Science, page 614-625. Springer, (2012)

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Rare Pattern Mining on Data Streams., , and . DaWaK, volume 7448 of Lecture Notes in Computer Science, page 303-314. Springer, (2012)Volatility Drift Prediction for Transactional Data Streams., , , and . ICDM, page 1091-1096. IEEE Computer Society, (2018)Detecting Volatility Shift in Data Streams., , , and . ICDM, page 863-868. IEEE Computer Society, (2014)Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle., , and . AusDM, volume 996 of Communications in Computer and Information Science, page 318-330. Springer, (2018)SLED: Semi-supervised Locally-weighted Ensemble Detector., , , and . ICDE, page 1838-1841. IEEE, (2020)Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support., , , and . Australasian Conference on Artificial Intelligence, volume 7691 of Lecture Notes in Computer Science, page 614-625. Springer, (2012)Detecting Changes in Rare Patterns from Data Streams., , , and . PAKDD (2), volume 8444 of Lecture Notes in Computer Science, page 437-448. Springer, (2014)Drift Detector for Memory-Constrained Environments., , , and . DaWaK, volume 8646 of Lecture Notes in Computer Science, page 414-425. Springer, (2014)Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams., , , and . PRICAI (2), volume 11671 of Lecture Notes in Computer Science, page 419-430. Springer, (2019)Tracking Drift Types in Changing Data Streams., , , and . ADMA (1), volume 8346 of Lecture Notes in Computer Science, page 72-83. Springer, (2013)