Multimedia Data Mining: A Systematic Introduction to Concepts and Theory

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Zhongfei Zhang (State University of New York, Binghamton, USA) Ruofei Zhang (Yahoo Inc., Sunnyvale, California, USA)

Multimedia Data Mining

A Systematic Introduction to Concepts and Theory

Zhongfei Zhang (State University of New York, Binghamton, USA), Ruofei Zhang (Yahoo Inc., Sunnyvale, California, USA)

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English

Chapman & Hall/CRC
18 October 2019

Data mining

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications. Two of the most active researchers in multimedia data mining explore how this young area has rapidly developed in recent years.

The book first discusses the theoretical foundations of multimedia data mining, presenting commonly used feature representation, knowledge representation, statistical learning, and soft computing techniques. It then provides application examples that showcase the great potential of multimedia data mining technologies. In this part, the authors show how to develop a semantic repository training method and a concept discovery method in an imagery database. They demonstrate how knowledge discovery helps achieve the goal of imagery annotation. The authors also describe an effective solution to large-scale video search, along with an application of audio data classification and categorization.

This novel, self-contained book examines how the merging of multimedia and data mining research can promote the understanding and advance the development of knowledge discovery in multimedia data.

By: Zhongfei Zhang (State University of New York Binghamton USA), Ruofei Zhang (Yahoo Inc., Sunnyvale, California, USA)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 621g
ISBN: 9780367386276
ISBN 10: 0367386275
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Pages: 320
Publication Date: 18 October 2019
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Introduction. Theory and Techniques. Multimedia Data Mining Application Examples. References. Index.

Zhang, Zhongfei; Zhang, Ruofei