Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches

By Richard Jensen, Qiang Shen. IEEE Press series on computational intelligence, 2008

349 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/cf2ac1a45ec0d7efc4f8cc65a6ca879ff48fb66f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Y. Qian
2. Jiye Liang
3. Qiang Shen
4. Chuangyin Dang
5. Witold Pedrycz
6. Lorenzo Cavallaro
7. Kimberly Tam
8. Ren-hong Diao

Citations in the corpus

• The Evolution of Android Malware and Android Analysis Techniques (2017, methodology): “Identifying the ideal feature set can be done with pre-existing algorithms [Jensen and Shen 2008].”
• Feature Selection With Harmony Search (2012, background): “[58] and fuzzy-rough sets [3], [24], [25], [51], probabilistic consistency [8], [34], and correlation analysis [19], [20].”
• Positive approximation: An accelerator for attribute reduction in rough set theory (2010, background): “Shen and Jenshen generalized the dependency function in classical rough set framework to the fuzzy case and proposed a fuzzy-rough QUICKREDUCT algorithm [13,14,48].”