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.
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Ngôn ngữ Anh ● định dạng PDF ● ISBN 9783540710806 ● Biên tập viên Michael H. Bohlen & Arturas Mazeika ● Nhà xuất bản Springer Berlin Heidelberg ● Được phát hành 2008 ● Có thể tải xuống 3 lần ● Tiền tệ EUR ● TÔI 6377162 ● Sao chép bảo vệ Adobe DRM
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