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|a 978-1-60750-472-6
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|a Bifet, Albert.
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|a Adaptive stream mining :
|b pattern learning and mining from evolving data streams /
|c Albert Bifet.
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260 |
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|a Amsterdam ;
|a Washington, DC :
|b IOS Press,
|c ©2010.
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|a 1 online resource (xii, 212 pages) :
|b illustrations
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|a Frontiers in artificial intelligence and applications ;
|v v. 207
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|a Includes bibliographical references (pages 199-212).
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|a Title page; Contents; Introduction and Preliminaries; Introduction; Preliminaries; Evolving Data Stream Learning; Mining Evolving Data Streams; Adaptive Sliding Windows; Decision Trees; Ensemble Methods; Closed Frequent Tree Mining; Mining Frequent Closed Rooted Trees; Mining Implications from Lattices of Closed Trees; Evolving Tree Data Stream Mining; Mining Adaptively Frequent Closed Rooted Trees; Adaptive XML Tree Classification; Bibliography.
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|a Contributes to the subject of mining time-changing data streams and addresses the design of learning algorithms for this purpose. This book introduces contributions on several different aspects of the problem, identifying research opportunities and increasing the scope for applications.
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588 |
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|a Print version record.
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Data mining.
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650 |
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2 |
|a Data Mining
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|a Exploration de données (Informatique)
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|x Data Mining.
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|i Print version:
|a Bifet, Albert.
|t Adaptive stream mining.
|d Amsterdam ; Washington, D.C. : IOS Press, ©2010
|z 9781607500902
|w (DLC) 2009942750
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|a Frontiers in artificial intelligence and applications ;
|v v. 207.
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