Titlebook: Visual Data Mining; Theory, Techniques a Simeon J. Simoff,Michael H. Böhlen,Arturas Mazeika Book 2008 Springer-Verlag Berlin Heidelberg 200

LEVER

Book 2008a 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 contribu

驾驶

The 3DVDM Approach: A Case Study with Clickstream Dataowever, the step from statistical charts to comprehensive information about customer behavior is still largely unresolved. We propose a density surface based analysis of 3D data that uses state-of-the-art interaction techniques to explore the data at various granularities.

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大包裹

Trabeculoplasty

Visual Methods for Examining SVM Classifiersalgorithms in data mining. We present the use of tour-based methods to plot aspects of the SVM classifier. This approach provides insights about the cluster structure in the data, the nature of boundaries between clusters, and problematic outliers. Furthermore, tours can be used to assess the variab

凝乳

Text Visualization for Visual Text Analyticsxt clustering techniques which serve only to partition text corpora into sets of related items, these so-called . methods also typically strive to depict detailed inter- and intra-set similarity structure. Text analytics software typically couples semantic mapping techniques with additional visualiz

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Assisting Human Cognition in Visual Data Miningesents two strategies addressing the subjective bias: “guided cognition” and “validated cognition”, which result in two types of visual data mining techniques: interaction with visual data representations, mediated by statistical techniques, and validation of the hypotheses coming as an output of th

Platelet

Immersive Visual Data Mining: The 3DVDM Approachears’ field of hearing is larger than the eyes’ field of view, and thus is able to inform us on events happening in areas that we cannot see. The audio-visual tools in the 3DVDM system are tested and the effectiveness of them is discussed for situations where sound acts as support for visual explora