Multimedia Data Mining and Knowledge Discovery, 9781447160137
Paperback
This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications.

Multimedia Data Mining and Knowledge Discovery

$558.76

  • Paperback

    521 pages

  • Release Date

    26 November 2014

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Summary

This tightly-edited collection of papers from leading researchers worldwide provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research.

Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its cha…

Book Details

ISBN-13:9781447160137
ISBN-10:1447160134
Author:Valery A. Petrushin, Latifur Khan
Publisher:Springer London Ltd
Imprint:Springer London Ltd
Format:Paperback
Number of Pages:521
Edition:2007th
Release Date:26 November 2014
Weight:831g
Dimensions:235mm x 155mm
What They're Saying

Critics Review

From the reviews:

“The editors make a cogent argument in their preface as to the critical need for books such as this; namely, with the ever-decreasing costs and inversely proportional increasing size of storage and memory chips, massive multimedia (and speech) collections are no longer the sole domain of professional studios… This book brings to light the great variety of technologies and applications for multimedia data mining and is sure to be of interest to academic researchers and industrial practitioners alike.” (Michael Goldberg, ACM Computing Reviews, Vol. 49 (11), November 2008)

“The book … cover the broad area of multimedia data mining and knowledge discovery. It consists of five parts in 25 chapters. In each chapter, leading researchers from academia or industry report their research work on selected topics, which are extended from papers presented at the Multimedia Data Mining Workshops in 2003 and 2004. … the book is suitable for scientists, engineers, and senior graduate students who work in related fields.” (Jie Yu, Journal of Electronic Imaging, Vol. 17 (4), October-December, 2008)

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