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Reseach Article

A Survey of Data Mining Techniques for Quality Improvement in Process Industries

Published on May 2012 by V. Sharmila, M. Shanmugasundaram
National Conference on Advances in Computer Science and Applications (NCACSA 2012)
Foundation of Computer Science USA
NCACSA - Number 4
May 2012
Authors: V. Sharmila, M. Shanmugasundaram
9260fd5d-5c33-4456-9f27-7abdef22f05d

V. Sharmila, M. Shanmugasundaram . A Survey of Data Mining Techniques for Quality Improvement in Process Industries. National Conference on Advances in Computer Science and Applications (NCACSA 2012). NCACSA, 4 (May 2012), 20-22.

@article{
author = { V. Sharmila, M. Shanmugasundaram },
title = { A Survey of Data Mining Techniques for Quality Improvement in Process Industries },
journal = { National Conference on Advances in Computer Science and Applications (NCACSA 2012) },
issue_date = { May 2012 },
volume = { NCACSA },
number = { 4 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 20-22 },
numpages = 3,
url = { /proceedings/ncacsa/number4/6502-1027/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computer Science and Applications (NCACSA 2012)
%A V. Sharmila
%A M. Shanmugasundaram
%T A Survey of Data Mining Techniques for Quality Improvement in Process Industries
%J National Conference on Advances in Computer Science and Applications (NCACSA 2012)
%@ 0975-8887
%V NCACSA
%N 4
%P 20-22
%D 2012
%I International Journal of Computer Applications
Abstract

This paper presents a survey of quality improvement of various products in process industries and present how data mining can be used in manufacturing for improving the quality, maintenance, control and production of a product.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Quality Improvement Data Mining Manufacturing Process Industries Product