Visual Data Mining

Visual Data Mining

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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.DataJewel: Integrating Visualization with Temporal Data Mining Mihael Ankerst1, Anne Kao2, Rodney Tjoelker2, and ... Examples of temporal datasets include stock market data, manufacturing or production data, maintenance data, event dataanbsp;...

Title:Visual Data Mining
Author: Simeon Simoff, Michael H. Böhlen, Arturas Mazeika
Publisher:Springer Science & Business Media - 2008-07-18

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