relation: https://khub.utp.edu.my/scholars/1040/
title: Development of a manufacturing industry success rate analyzer using data mining technique
creator: Mazlan, E.M.
creator: Rahman, S.
creator: Ahmad, R.
creator: Kasbon, R.
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 locationldistrict to set up the manufacturing business. © 2010 IEEE.
date: 2010
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Mazlan, E.M. and Rahman, S. and Ahmad, R. and Kasbon, R.  (2010) Development of a manufacturing industry success rate analyzer using data mining technique.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049412969&doi=10.1109%2fITSIM.2010.5561586&partnerID=40&md5=185b06ce90cb6b1587a9c8efc4dee90e
relation: 10.1109/ITSIM.2010.5561586
identifier: 10.1109/ITSIM.2010.5561586