Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2558)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Despite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from huge collections of structured digital data collection as usually stored in databases. Whereas data mining was done in early days primarily on numerical data, nowadays multimedia and Internet applications drive the need to develop data mining methods and techniques that can work on all kinds of data such as documents, images, and signals.
This book introduces the basic concepts of mining multimedia data and demonstrates how to apply these methods in various application fields. It is written for students, ambitioned professionals from industry and medicine, and for scientists who want to contribute R&D work to the field or apply this new technology.
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining on Multimedia Data
Editors: Petra Perner
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-36282-7
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Softcover ISBN: 978-3-540-00317-5Published: 13 December 2002
eBook ISBN: 978-3-540-36282-1Published: 01 July 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 138
Topics: Data Structures and Information Theory, Database Management, Multimedia Information Systems, Artificial Intelligence, Image Processing and Computer Vision, IT in Business