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Research Challenges in Ubiquitous Knowledge Discovery

, , , , , , , , , and 4 other author(s). Next Generation of Data Mining (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series), Chapman & Hall/CRC, 1 edition, (2008)

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Research Challenges in Ubiquitous Knowledge Discovery, , , , , , , , , and 4 other author(s). Next Generation of Data Mining (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series), Chapman & Hall/CRC, 1 edition, (2008)Collaborative filtering with recency-based negative feedback., , and . SAC, page 963-965. ACM, (2015)Decision Trees Using the Minimum Entropy-of-Error Principle., , , and . CAIP, volume 5702 of Lecture Notes in Computer Science, page 799-807. Springer, (2009)Forest trees for on-line data., , and . SAC, page 632-636. ACM, (2004)Adaptation to Drifting Concepts., , and . EPIA, volume 2902 of Lecture Notes in Computer Science, page 279-293. Springer, (2003)Evaluating algorithms that learn from data streams., , and . SAC, page 1496-1500. ACM, (2009)Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency., , , and . SDM, page 873-881. SIAM, (2015)Event and Anomaly Detection Using Tucker3 Decomposition., , , , and . CoRR, (2014)Knowledge discovery from sensor data (SensorKDD)., , , , , and . SIGKDD Explor., 11 (2): 84-87 (2009)Next challenges for adaptive learning systems., , , , , , and . SIGKDD Explor., 14 (1): 48-55 (2012)