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Development of a Manufacturing Industry Success Rate Analyzer Using Data Mining Technique

Starting up new businesses can be resource consuming. There are risks involved whenever new businesses are to be set up. This paper presents the development of a success rate analyzer to calculate the successful rate of setting up new manufacturing businesses particularly in Perak, Malaysia. Demogr...

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Main Authors: Mazlan, Eliza Mazmee, Rahman, Shazana, Ahmad, Rohiza, Kasbon, Rozana
Format: Conference or Workshop Item
Published: 2010
Subjects:
T Technology (General)
Online Access:http://eprints.utp.edu.my/4470/1/ITSP_P2_11.pdf
http://eprints.utp.edu.my/4470/
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spelling my.utp.eprints.44702017-03-20T07:55:07Z Development of a Manufacturing Industry Success Rate Analyzer Using Data Mining Technique Mazlan, Eliza Mazmee Rahman, Shazana Ahmad, Rohiza Kasbon, Rozana T Technology (General) Starting up new businesses can be resource consuming. There are risks involved whenever new businesses are to be set up. This paper presents the development of a success rate analyzer to calculate the successful rate of setting up new manufacturing businesses particularly in Perak, Malaysia. Demographic data of Perak population is used and the data undergoes data mining process using the clustering technique and linear regression methods in analyzing the success rate of a manufacturing industry in Perak. With the result given by the application, new entrepreneurs can decide suitable location/district to set up the manufacturing business. 2010 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/4470/1/ITSP_P2_11.pdf Mazlan, Eliza Mazmee and Rahman, Shazana and Ahmad, Rohiza and Kasbon, Rozana (2010) Development of a Manufacturing Industry Success Rate Analyzer Using Data Mining Technique. In: ITSIM'10, June 2010, Kuala Lumpur, Malaysia. http://eprints.utp.edu.my/4470/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic T Technology (General)
spellingShingle T Technology (General)
Mazlan, Eliza Mazmee
Rahman, Shazana
Ahmad, Rohiza
Kasbon, Rozana
Development of a Manufacturing Industry Success Rate Analyzer Using Data Mining Technique
description Starting up new businesses can be resource consuming. There are risks involved whenever new businesses are to be set up. This paper presents the development of a success rate analyzer to calculate the successful rate of setting up new manufacturing businesses particularly in Perak, Malaysia. Demographic data of Perak population is used and the data undergoes data mining process using the clustering technique and linear regression methods in analyzing the success rate of a manufacturing industry in Perak. With the result given by the application, new entrepreneurs can decide suitable location/district to set up the manufacturing business.
format Conference or Workshop Item
author Mazlan, Eliza Mazmee
Rahman, Shazana
Ahmad, Rohiza
Kasbon, Rozana
author_facet Mazlan, Eliza Mazmee
Rahman, Shazana
Ahmad, Rohiza
Kasbon, Rozana
author_sort Mazlan, Eliza Mazmee
title Development of a Manufacturing Industry Success Rate Analyzer Using Data Mining Technique
title_short Development of a Manufacturing Industry Success Rate Analyzer Using Data Mining Technique
title_full Development of a Manufacturing Industry Success Rate Analyzer Using Data Mining Technique
title_fullStr Development of a Manufacturing Industry Success Rate Analyzer Using Data Mining Technique
title_full_unstemmed Development of a Manufacturing Industry Success Rate Analyzer Using Data Mining Technique
title_sort development of a manufacturing industry success rate analyzer using data mining technique
publishDate 2010
url http://eprints.utp.edu.my/4470/1/ITSP_P2_11.pdf
http://eprints.utp.edu.my/4470/
_version_ 1738655343047606272
score 13.189153

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