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Data Mining on Multimedia Data

  • Petra┬áPerner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2558)

Table of contents

  1. Front Matter
    Pages I-X
  2. Pages 1-11
  3. Pages 13-22
  4. Pages 91-116
  5. Pages 117-117
  6. Back Matter
    Pages 121-131

About this book

Introduction

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.

Keywords

Algorithm Learning Associate Rule Mining Binary Decision Diagrams Clustering Data Mining Data Preparation Image Mining Inductive Inference Internet Knowledge Discovery Multimedia Multimedia Mining Web Data Mining database databases

Editors and affiliations

  • Petra┬áPerner
    • 1
  1. 1.Institute of Computer Vision and Applied Computer SciencesLeipzigGermany

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-36282-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-00317-5
  • Online ISBN 978-3-540-36282-1
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site