BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Multimedia Data Mining: A Systematic Introduction to Concepts and Theory (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Multimedia Data Mining: A Systematic Introduction to Concepts and Theory (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Multimedia Data Mining: A Systematic Introduction to Concepts and Theory
Stock photo: cover may vary

Multimedia Data Mining: A Systematic Introduction to Concepts and Theory (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Hardback - 2008 - 1st Edition

by Zhang, Zhongfei; Zhang, Ruofei

Add to wish list
  • New
  • Hardback
New

Description

Chapman and Hall/CRC, 2008-12-02. Hardcover. New. New. In shrink wrap. Looks like an interesting title!
Ask the seller a question Add to wish list
NZ$230.63
NZ$10.68 Delivery within USA
Standard delivery: 2 to 21 days
More delivery options
Ships from GridFreed LLC (California, United States)

Details

About GridFreed LLC California, United States

Biblio member since 2021

We sell primarily non-fiction, many new books, some collectible first editions and signed books. We operate 100% online and have been in business since 2005.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from GridFreed LLC

Reader reviews for Multimedia Data Mining: A Systematic Introduction to Concepts and Theory (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

From the publisher

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.

Media reviews

Citations

  • Choice, 03/01/2010, Page 0
  • Scitech Book News, 06/01/2009, Page 17
tracking-