Advancing feature selection research

Zhao, Zheng and Morstatter, Fred and Sharma, Shashvata and Alelyani, Salem and Anand, Aneeth and Liu, Huan (2010) Advancing feature selection research. ASU feature selection repository. pp. 1-28.

[img]
Preview
Text
ZhaoEtAl.pdf

Download (690kB) | Preview

Abstract

The rapid advance of computer based high-throughput technique have provided unparalleled opportunities for humans to expand capabilities in production, services, communications, and research. Meanwhile, immense quantities of high-dimensional data are accumulated challenging state-of-the-art data mining techniques. Feature selection is an essential step in successful data mining applications, which can effectively reduce data dimensionality by removing the irrelevant (and the redundant) features. In the past few ...

Item Type: Article
Subjects: Computer Sciences
Divisions: College of Computer Sciences > Computer Sciences
Depositing User: Salem Alelyani
Date Deposited: 01 Nov 2015 16:14
Last Modified: 01 Nov 2015 16:14
URI: http://eprints.kku.edu.sa/id/eprint/65

Actions (login required)

View Item View Item