Adaptive stream mining: pattern learning and mining from evolving data streams
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Bibliographic Details
Main Author: Bifet, Albert (Author)
Format: Electronic eBook
Language:English
Published: Amsterdam IOS Press ©2010
Series:Frontiers in artificial intelligence and applications v. 207
Subjects:
Online Access:FAW01
FAW02
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Item Description:Includes bibliographical references (pages 199-212)
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
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
Physical Description:1 Online-Ressource (xii, 212 pages)
ISBN:1607504723
9781607504726

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