Ebook: Visual Data Mining: Theory, Techniques and Tools for Visual Analytics
- Genre: Computers // Organization and Data Processing
- Tags: Data Mining and Knowledge Discovery, Computer Graphics, Information Storage and Retrieval
- Series: Lecture Notes in Computer Science 4404 : Information Systems and Applications incl. Internet/Web and HCI
- Year: 2008
- Publisher: Springer-Verlag Berlin Heidelberg
- City: New York
- Edition: 1
- Language: English
- pdf
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.
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.