[PDF.32yk] Visual Data Mining: Theory, Techniques and Tools for Visual Analytics (Lecture Notes in Computer Science)

Visual Data Mining: Theory, Techniques and Tools for Visual Analytics (Lecture Notes in Computer Science)

[PDF.qc64] Visual Data Mining: Theory, Techniques and Tools for Visual Analytics (Lecture Notes in Computer Science)

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 | #6023242 in Books |  Springer |  2008-08-27 | Original language:English | PDF # 1 |  1.00 x6.10 x9.10l,1.35 | File type: PDF | 407 pages

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||From the Back Cover||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

Visual Data Mining―Opening the Black Box Knowledge discovery holds the promise of insight into large, otherwise opaque datasets. Thenatureofwhatmakesaruleinterestingtoauserhasbeendiscussed 1 widely but most agree that it is a subjective quality based on the practical u- fulness of the information. Being subjective, the user needs to provide feedback to the system and, as is the case for all systems, the sooner the feedback is given the quicker it can in?uence the behav...

You can specify the type of files you want, for your device.Visual Data Mining: Theory, Techniques and Tools for Visual Analytics (Lecture Notes in Computer Science)   |  From Brand: Springer. I was recommended this book by a dear friend of mine.

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