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, ...