COMPARATIVE STUDY OF ATTRIBUTE SELECTION USING GAIN RATIO AND CORRELATION BASED FEATURE SELECTION

By A. Karegowda, A. Manjunath, M. Jayaram. 2010

443 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4c21153c28d29c2d190d18b7666a95e4ef3ecdda

How researchers see this paper

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

1. Binh Thai Pham
2. Hamid Reza Pourghasemi
3. D. Tien Bui
4. M. Dholakia
5. Lian Duan
6. P. Indra
7. Wei Chen
8. Lida Xu

Citations in the corpus

• Big data for cyber physical systems in industry 4.0: a survey (2019, background): “The three popular functions are information gain (Quinlan 1986), gain ratio (Karegowda, Manjunath, and Jayaram 2010), and gini index (Raileanu and Sto ff el 2004).”
• Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods (2017, methodology): “Several feature selection methods used in the literature review such us information gain ratio (Dai and Xu 2013), consistency (Dash and Liu 2003), gain ratio (Karegowda et al. 2010), chisquare statistic (Chen et al. 2009).”