NDLI: Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection

Content Provider	IEEE Xplore Digital Library
Author	Wald, R. Khoshgoftaar, T. Napolitano, A.
Copyright Year	2013
Description	Author affiliation: Florida Atlantic Univ., Boca Raton, FL, USA (Wald, R.; Khoshgoftaar, T.; Napolitano, A.)
Abstract	Due to the prevalence of high dimensionality(having a large number of independent attributes), feature selection techniques (which reduce the feature subset to amore manageable size) have become quite popular. These reduced feature subsets can help improve the performance of classification models and can also inform researchers about which features are most relevant for the problem at hand. For this latter problem, it is often most important that the features chosen are consistent even in the face of changes(perturbations) to the dataset. While previous studies have considered the problem of finding so-called "stable" feature selection techniques, none has examined stability across all three major categories of feature selection technique: filter-based feature rankers (which use statistical measures to assign scores to each feature), filter-based subset evaluators (which also employ statistical approaches, but consider whole feature subsets at a time), and wrapper-based subset evaluation (which also considers whole subsets, but which builds classification models to evaluate these subsets). In the present study, we use two datasets from the domain of Twitter profile mining to compare the stability of five filter-based rankers, two filter-based subset evaluators, and five wrapper-based subset evaluators. We find that the rankers are most stable, followed by the filter-based subset evaluators, with the wrappers being the least stable. We also show that the relative performance among the techniques within each group is consistent across dataset and perturbation level. However, the relative stability of the two datasets does vary between the groups, showing that the effects are more complex than simply "one group is always more stable than another group".
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	457
Ending Page	464
File Size	385838
Page Count	8
File Format	PDF
ISBN	9780769551449
DOI	10.1109/ICMLA.2013.162
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement filter-based feature selection Stability Stability criteria Buildings wrapper-based feature selection Feature extraction Twitter Indexes
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

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