Visual Data Mining
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 sys...
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oai:112.137.131.14:VNU_123-310932020-07-01T02:37:40Z Visual Data Mining Simoff, Simeon Böhlen, Michael H. Mazeika, Arturas Information visualization ; Data mining 006.3 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. 2017-04-19T03:35:59Z 2017-04-19T03:35:59Z 2008 Book 9783540710806 http://repository.vnu.edu.vn/handle/VNU_123/31093 en 407 p. application/pdf Springer |
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Vietnam National University, Hanoi |
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VNU Library & Information Center |
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Vietnam |
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English |
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Information visualization ; Data mining 006.3 |
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Information visualization ; Data mining 006.3 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. |
author2 |
Simoff, Simeon |
author_facet |
Simoff, Simeon |
format |
Book |
title |
Visual Data Mining |
title_short |
Visual Data Mining |
title_full |
Visual Data Mining |
title_fullStr |
Visual Data Mining |
title_full_unstemmed |
Visual Data Mining |
title_sort |
visual data mining |
publisher |
Springer |
publishDate |
2017 |
url |
http://repository.vnu.edu.vn/handle/VNU_123/31093 |
_version_ |
1680965950732500992 |