Predicting bad utility consumers in Malaysia
Data mining; CRISP-DM; Cross industry; Cumulative amount; Data preparation; Solution model; Utility bills; Utility companies; utility consumers; Sales
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-223902023-05-29T14:00:41Z Predicting bad utility consumers in Malaysia Hoe A.C.K. Dhillon J.S. 56105282800 7003949854 Data mining; CRISP-DM; Cross industry; Cumulative amount; Data preparation; Solution model; Utility bills; Utility companies; utility consumers; Sales In many organizations, especially in most utility companies including Company X, revenue collection is a major issue when customers face difficulties in paying their utility bills before the deadline. There are many reasons for this problem but it becomes a serious financial issue for the organizations when the cumulative amount of bad debts reached a staggering figure. This paper reports a study of this issue for Company X involving its customers based in Bangi and Kajang, totaling upto 1,525 customers. The study is conducted to identify the factors of customers who would default payment of their bills. The identification of such factors is important to enable Company X to identify these customers and implement the necessary measures to mitigate the problem. The CRISP-DM (Cross-Industry Standard Process for data mining) model was employed in conducting the study. The results provide an intial understanding of the issue and the solution model generated could be used to resolve the issue for other areas in Malaysia. � 2014 IEEE. Final 2023-05-29T06:00:41Z 2023-05-29T06:00:41Z 2015 Conference Paper 10.1109/ICIMU.2014.7066636 2-s2.0-84937458729 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937458729&doi=10.1109%2fICIMU.2014.7066636&partnerID=40&md5=32f08d68ecc7e5e1fe28ce7e97e63617 https://irepository.uniten.edu.my/handle/123456789/22390 7066636 234 237 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Asia |
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Malaysia |
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Universiti Tenaga Nasional |
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| description |
Data mining; CRISP-DM; Cross industry; Cumulative amount; Data preparation; Solution model; Utility bills; Utility companies; utility consumers; Sales |
| author2 |
56105282800 |
| author_facet |
56105282800 Hoe A.C.K. Dhillon J.S. |
| format |
Conference Paper |
| author |
Hoe A.C.K. Dhillon J.S. |
| spellingShingle |
Hoe A.C.K. Dhillon J.S. Predicting bad utility consumers in Malaysia |
| author_sort |
Hoe A.C.K. |
| title |
Predicting bad utility consumers in Malaysia |
| title_short |
Predicting bad utility consumers in Malaysia |
| title_full |
Predicting bad utility consumers in Malaysia |
| title_fullStr |
Predicting bad utility consumers in Malaysia |
| title_full_unstemmed |
Predicting bad utility consumers in Malaysia |
| title_sort |
predicting bad utility consumers in malaysia |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806426069240119296 |
| score |
13.222552 |