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Multimedia Data Mining: A Systematic Introduction to Concepts and Theory.

Multimedia Data Mining: A Systematic Introduction to Concepts and Theory.

・ISBN 978-0-367-38627-6 paper GB£ 68.99

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お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9780429138430
著者・編者Zhang, Zhongfei / Zhang, Ruofei,
シリーズ (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
出版社 (Chapman & Hall/CRC, UK)
出版年月2019
ページ数320 pp.
言語ENG
ニュース番号<A00-41828>

解説

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.