Hybrid Methods for Feature Selection

Hybrid Methods for Feature Selection

Feature selection is one of the important data preprocessing steps in data mining. The feature selection problem involves finding a feature subset such that a classification model built only with this subset would have better predictive accuracy than model built with a complete set of features. In t...

Full description

Bibliographic Details
Main Author: Cheng, Iunniang
Format: Others
Published: TopSCHOLAR® 2013
Subjects:
Data Mining
Filter-based Feature Ranking
Performance Metric
Information Technology
Databases
Knowledge Acquisition (Expert Systems)
Artificial Intelligence and Robotics
Computer Sciences
Databases and Information Systems
Online Access:http://digitalcommons.wku.edu/theses/1244
http://digitalcommons.wku.edu/cgi/viewcontent.cgi?article=2247&context=theses

Internet

http://digitalcommons.wku.edu/theses/1244
http://digitalcommons.wku.edu/cgi/viewcontent.cgi?article=2247&context=theses

Similar Items