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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Other Authors: Simoff, Simeon
Format: Book
Language:English
Published: Springer 2017
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Online Access:http://repository.vnu.edu.vn/handle/VNU_123/31093
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Institution: Vietnam National University, Hanoi
Language: English
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spelling 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