The optimal combination of feature selection and data discretization: An empirical study

Mathematics

• Attribute 14%
• Binning 46%
• Classifier 34%
• Data Mining 17%
• Data Preprocessing 25%
• Decision tree 19%
• Discretization 45%
• Empirical Study 70%
• Experimental Results 15%
• Feature Selection 82%
• Filter 13%
• Filtering 15%
• Gas 14%
• Supervised Learning 22%
• Unsupervised Learning 23%
• Wrapper 25%

Business & Economics

• Classifier 36%
• Data Mining 22%
• Decision Tree 24%
• Discretization 78%
• Empirical Study 38%
• Feature Selection 100%
• Filter 16%
• Gas 12%
• Unsupervised Learning 27%
• Wrapper 24%

Engineering & Materials Science

• Classifiers 21%
• Data mining 12%
• Decision trees 15%
• Feature extraction 47%
• Supervised learning 16%
• Unsupervised learning 17%