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» Selecting Structural Patterns for Classification
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SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
15 years 7 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
HIS
2008
14 years 11 months ago
Clonal Selection-Based Neural Classifier
Artificial Immune Systems (AIS) constitute an emerging and promising field, and have been applied to pattern recognition and classification tasks to a limited extent so far. This ...
Aris Lanaridis, Vasileios Karakasis, Andreas Stafy...
ICONIP
2004
14 years 11 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
PR
2006
111views more  PR 2006»
14 years 9 months ago
The Bhattacharyya space for feature selection and its application to texture segmentation
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
FUIN
2010
114views more  FUIN 2010»
14 years 4 months ago
Feature Selection via Maximizing Fuzzy Dependency
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
Qinghua Hu, Pengfei Zhu, Jinfu Liu, Yongbin Yang, ...