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

By: Material type: TextTextSeries: Frontiers in artificial intelligence and applications ; v. 207.Publication details: Amsterdam ; Washington, DC : IOS Press, ©2010.Description: 1 online resource (xii, 212 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781607504726
  • 1607504723
  • 128260080X
  • 9781282600805
Subject(s): Additional physical formats: Print version:: Adaptive stream mining.DDC classification:
  • 006.3/12 22
LOC classification:
  • QA76.9.D343 B544 2010
Online resources:
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.
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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Computers Available
Total holds: 0

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.

Print version record.

Added to collection customer.56279.3

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