Visual Data Mining / Lecture Notes in Computer Science Bd.4404 (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...
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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.
- 2008, 2008, 407 Seiten, Englisch
- Herausgegeben: Simeon Simoff, Michael H. Böhlen, Arturas Mazeika
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3540710809
- ISBN-13: 9783540710806
- Erscheinungsdatum: 23.07.2008
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 70 MB
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