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» The Ordered Set of Rough Sets
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EWCBR
2006
Springer
14 years 8 days ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
FUZZIEEE
2007
IEEE
14 years 2 months ago
Distance Measure Assisted Rough Set Feature Selection
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
Neil MacParthalain, Qiang Shen, Richard Jensen
GRC
2005
IEEE
14 years 2 months ago
Improved rule based rough set approach for target recognition
An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. We compare the new approach with our previous nonincremental a...
Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan
PRL
2007
180views more  PRL 2007»
13 years 8 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...
KDD
1995
ACM
104views Data Mining» more  KDD 1995»
14 years 4 days ago
Using Rough Sets as Tools for Knowledge Discovery
An attribute-oriented rough set method for knowledgediscovery in databases is described. Themethodis based on information generalization, whichexaminesthe data at various levels o...
Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Ni...