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An academic monograph that presents methods and algorithms for learning and mining patterns from evolving data streams. The book focuses on adaptive techniques capable of handling concept drift, limited memory, and real-time processing constraints, and covers theoretical foundations as well as practical approaches for classification, clustering, frequent pattern mining, and change detection in streaming data environments.

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245: $a: Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams
245: $b:
082: $a:
100: $a: Albert Bifet
650: $a: Data mining
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440: $v:
250: $b: IOS Press
250: $c: 2010
020: $a: 9781607500902
300: $a: 250