NDLI: To increase quality of feature reduction approaches based on processing input datasets

Content Provider	IEEE Xplore Digital Library
Author	Ershad, S.F. Hashemi, S.
Copyright Year	2011
Description	Author affiliation: Department of computer science, engineering and IT Shiraz University Shiraz/Iran (Ershad, S.F.; Hashemi, S.)
Abstract	Feature extraction is an important concept which is used for reducing features to decrease the complexity and time of classification. So far some methods have been presented for solving this problem but almost all of them just presented a fix output for each input dataset that some of them aren't satisfied cases for classification. In this paper first we present a new concept called Dispelling Classes Gradually (DCG) to increase separability of classes based on their labels. Next we will use this method to process input dataset of the feature reduction approaches to decrease the misclassification error rate of their outputs more than when output is achieved without any processing. In addition our method has a good quality to collate with noise based on adapting dataset with feature reduction approaches. The results compare two conditions (With process and without that) to support our idea.
Starting Page	367
Ending Page	371
File Size	749283
Page Count	5
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6014289
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Dispelling classes gradually Feature Extraction Feature extraction Feature reduction Principal component analysis
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
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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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