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» On Feature Selection through Clustering
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ADC
2006
Springer
120views Database» more  ADC 2006»
15 years 9 months ago
Approximate data mining in very large relational data
In this paper we discuss eNERF, an extended version of non-Euclidean relational fuzzy c-means (NERFCM) for approximate clustering in very large (unloadable) relational data. The e...
James C. Bezdek, Richard J. Hathaway, Christopher ...
137
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APWEB
2005
Springer
15 years 9 months ago
An LOD Model for Graph Visualization and Its Application in Web Navigation
This paper presents a new method for visualizing and navigating huge graphs. The main feature of this method is that it applies Level-Of-Detail (LOD) strategy to graph visualizati...
Shixia Liu, Yue Pan, Liping Yang, Wenyin Liu
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
15 years 8 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
130
Voted
KES
2008
Springer
15 years 3 months ago
Data Mining for Navigation Generating System with Unorganized Web Resources
Users prefer to navigate subjects from organized topics in an abundance resources than to list pages retrieved from search engines. We propose a framework to cluster frequent items...
Diana Purwitasari, Yasuhisa Okazaki, Kenzi Watanab...
110
Voted
ICIP
2009
IEEE
15 years 1 months ago
Fea-Accu cascade for face detection
Aiming at unloading the high training time burden of the popular cascaded classifier, in this paper, a novel cascade structure called Fea-Accu cascade is proposed. In Fea-Accu cas...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao