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QUERYING AND MINING UNCERTAIN DATA STREAMS (East China Normal University
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QUERYING AND MINING UNCERTAIN DATA STREAMS (East China Normal University Scientific Reports) Hardcover - 2016

by Jin, Cheqing

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Details

  • Title QUERYING AND MINING UNCERTAIN DATA STREAMS (East China Normal University Scientific Reports)
  • Author Jin, Cheqing
  • Binding Hardcover
  • Condition UsedVeryGood
  • Pages 164
  • Volumes 1
  • Language ENG
  • Publisher World Scientific Publishing Company
  • Date 2016-07-14
  • Features Bibliography
  • Bookseller's Inventory # 3TWOWA0019QG
  • ISBN 9789813108776 / 9813108770
  • Weight 0.95 lbs (0.43 kg)
  • Dimensions 9.1 x 6 x 0.7 in (23.11 x 15.24 x 1.78 cm)
  • Library of Congress subjects Data mining, Uncertainty (Information theory)
  • Library of Congress Catalog Number 2015051052
  • Dewey Decimal Code 006.312

From the publisher

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential growth of possible solution space.This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams. Its contents include some important discoveries dealing with typical topics such as top-k query, ER-Topk query, rarity estimation, set similarity, and clustering.Querying and Mining Uncertain Data Streams is written for professionals, researchers, and graduate students in data mining and its various related fields.