NDLI: A Feature Subset Selection Algorithm Based on Feature Activity and Improved GA

Content Provider	IEEE Xplore Digital Library
Author	Juan Li
Copyright Year	2015
Description	Author affiliation: Sch. of Distance Educ., Shaanxi Normal Univ., Xi'an, China (Juan Li)
Abstract	Feature subset selection is an important research branch in the field of pattern recognition. Due to the traditional feature selection algorithms do not take into account the feature updating case, the paper analyzes the relationship between dataset and features, proposes a new feature activity measurement that is used to determine the influence among different features on some certain conditions. Based on the feature activity measurement, to cope with the premature convergence and the weak local search ability of classic genetic algorithm, the paper proposes a feature set selection algorithm based on adaptive feature activity and improved genetic algorithm. The proposed algorithm can dynamic guidance feature selection process, and then accelerate from multidimensional characteristics in the collection to find the optimal feature subset. Experimental results indicate the proposed method can obtain small scale feature set on the basis of higher classification accuracy and faster running time than those compared algorithms. The proposed algorithm can be better applied to the field of feature selection application.
Starting Page	206
Ending Page	210
File Size	415109
Page Count	5
File Format	PDF
e-ISBN	9781467386609
DOI	10.1109/CIS.2015.58
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	genetic algorithm Feature selection Heuristic algorithms Sociology support vector machin Genetics feature activity Statistics Biological cells artificial intelligence Genetic algorithms Convergence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An improved GA-SVM algorithm

Genetic Algorithm for the Column Subset Selection Problem

Notice of RetractionA GA-based feature selection and parameters optimization for support vector regression

A Multi-Population Univariate Marginal Distribution Algorithm for Feature Selection

GA-based feature subset selection in a spam/non-spam detection system

GA-based feature subset selection: Application to Arabic speaker recognition system

Feature subset selection and parameters optimization for support vector machine in breast cancer diagnosis

Network partitioning and GA heuristic crossover for NoC application mapping

Hierarchical polarimetric SAR image classification based on feature selection and Genetic algorithm

A Feature Subset Selection Algorithm Based on Feature Activity and Improved GA

Similar Documents

An improved GA-SVM algorithm

Genetic Algorithm for the Column Subset Selection Problem

Notice of RetractionA GA-based feature selection and parameters optimization for support vector regression

A Multi-Population Univariate Marginal Distribution Algorithm for Feature Selection

GA-based feature subset selection in a spam/non-spam detection system

GA-based feature subset selection: Application to Arabic speaker recognition system

Feature subset selection and parameters optimization for support vector machine in breast cancer diagnosis

Network partitioning and GA heuristic crossover for NoC application mapping

Hierarchical polarimetric SAR image classification based on feature selection and Genetic algorithm

A Feature Subset Selection Algorithm Based on Feature Activity and Improved GA