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Data Mining on Multimedia Data

Autor Petra Perner
en Limba Engleză Paperback – 13 dec 2002
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.
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Specificații

ISBN-13: 9783540003175
ISBN-10: 3540003177
Pagini: 148
Ilustrații: X, 138 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.24 kg
Ediția:2003
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Data Preparation.- Methods for Data Mining.- Applications.- Conclusion.

Textul de pe ultima copertă

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.

Caracteristici

Includes supplementary material: sn.pub/extras