| 书目名称 | Visual Data Mining | | 副标题 | Theory, Techniques a | | 编辑 | Simeon J. Simoff,Michael H. Böhlen,Arturas Mazeika | | 视频video | | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2008 | | 关键词 | SVM classifiers; association rules mining; clusterin; context visualizations; data mining; decision trees | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-71080-6 | | isbn_ebook | 978-3-540-71080-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2008 |
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发表于 2025-3-21 19:45:23
