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Adaptive stream mining : pattern learning and mining from evolving data streams / Albert Bifet.

Ebook Central Academic Complete Available online

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Format:
Book
Author/Creator:
Bifet, Albert.
Series:
Frontiers in artificial intelligence and applications ; v. 207.
Frontiers in artificial intelligence and applications ; v. 207
Language:
English
Subjects (All):
Data mining.
Pattern recognition systems.
Physical Description:
1 online resource (224 p.)
Edition:
1st ed.
Place of Publication:
Amsterdam : IOS Press, 2010.
Language Note:
English
Summary:
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.
Contents:
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
Notes:
Description based upon print version of record.
Includes bibliographical references.
ISBN:
6612600802
1-282-60080-X
9786612600807
1-60750-472-3
OCLC:
591152283

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