Visual Data Mining
Theory, Techniques and Tools for Visual Analytics
The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected. This book aims at addressing this need. Through a collection of 21 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.
- ISBN 13 : 3540710795
- ISBN 10 : 9783540710790
- Judul : Visual Data Mining
- Sub Judul : Theory, Techniques and Tools for Visual Analytics
- Pengarang : Simeon Simoff, Michael H. Böhlen, Arturas Mazeika,
- Kategori : Computers
- Penerbit : Springer Science & Business Media
- Bahasa : en
- Tahun : 2008
- Halaman : 407
- Halaman : 407
- Google Book : http://books.google.com/books?id=ijonlT8G07sC&dq=intitle:Data+Mining&hl=&source=gbs_api
-
Ketersediaan :
Form-Semantics-Function – A Framework for Designing Visual Data
Representations for Visual Data Mining Simeon J. Simoff School of Computing
and Mathematics College of Heath and Science University of Western Sydney
NSW 1797, ...