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Data Mining In Time Series And Streaming Databases
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Data Mining In Time Series And Streaming Databases Hardback - 2018

by Mark Last

  • New
  • Hardcover

Description

Hardback. New. This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining.The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic.
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Details

  • Title Data Mining In Time Series And Streaming Databases
  • Author Mark Last
  • Binding Hardback
  • Condition New
  • Pages 196
  • Volumes 1
  • Language ENG
  • Publisher World Scientific Publishing Company
  • Date 2018-02-28
  • Features Bibliography
  • Bookseller's Inventory # A9789813228030
  • ISBN 9789813228030 / 9813228032
  • Weight 0.95 lbs (0.43 kg)
  • Dimensions 9 x 6 x 0.5 in (22.86 x 15.24 x 1.27 cm)
  • Library of Congress subjects Data mining, Electronic data processing - Distributed
  • Library of Congress Catalog Number 2017044537
  • Dewey Decimal Code 005.74

From the publisher

This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining.The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic.