logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Multimedia Data Mining A Systematic Introduction To Concepts And Theory Zhongfei Zhang

  • SKU: BELL-1187594
Multimedia Data Mining A Systematic Introduction To Concepts And Theory Zhongfei Zhang
$ 31.00 $ 45.00 (-31%)

4.7

106 reviews

Multimedia Data Mining A Systematic Introduction To Concepts And Theory Zhongfei Zhang instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 6.33 MB
Pages: 303
Author: Zhongfei Zhang, Ruofei Zhang
ISBN: 9781584889663, 1584889667
Language: English
Year: 2009

Product desciption

Multimedia Data Mining A Systematic Introduction To Concepts And Theory Zhongfei Zhang by Zhongfei Zhang, Ruofei Zhang 9781584889663, 1584889667 instant download after payment.

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.

Related Products