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» A Flexible Approach for Visual Data Mining
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FLAIRS
2008
13 years 10 months ago
Semi-Automatic Refinement and Assessment of Subgroup Patterns
This paper presents a methodological approach for the semiautomatic refinement and assessment of subgroup patterns using summarization and clustering techniques in the context of ...
Martin Atzmüller, Frank Puppe
CGA
1999
13 years 7 months ago
Visualizing Large Telecommunication Data Sets
displays to abstract network data and let users interactwithit.Wehaveimplementedafull-scaleSwift3D prototype, which generated the examples we present here. Swift-3D We developed Sw...
Eleftherios Koutsofios, Stephen C. North, Daniel A...
VMV
2004
97views Visualization» more  VMV 2004»
13 years 9 months ago
Flexible Direct Multi-Volume Rendering in Dynamic Scenes
In this paper we describe methods to efficiently visualize multiple intersecting volumetric objects. We introduce the concept of V-Objects. V-Objects repbstract properties of an o...
Sören Grimm, Stefan Bruckner, Armin Kanitsar,...
DAWAK
2004
Springer
14 years 1 months ago
Multidimensional Data Visual Exploration by Interactive Information Segments
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information fr...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
DAWAK
2004
Springer
14 years 1 months ago
Categorical Data Visualization and Clustering Using Subjective Factors
Clustering is an important data mining problem. However, most earlier work on clustering focused on numeric attributes which have a natural ordering to their attribute values. Rec...
Chia-Hui Chang, Zhi-Kai Ding