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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2017
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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 |
| institution |
Vietnam National University, Hanoi |
| building |
VNU Library & Information Center |
| country |
Vietnam |
| collection |
VNU Digital Repository |
| language |
English |
| topic |
Information visualization ; Data mining 006.3 |
| spellingShingle |
Information visualization ; Data mining 006.3 Visual Data Mining |
| description |
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 |