Towards Forecasting Business Prepaid Mobile Telecommunication Using Connectionist Model

Prepaid mobile service has become a necessity to the society and contributed success to many business. Realizing its importance, the mobile networks are moving towards higher data rates and packet oriented data transmission and mobile having more multimedia features. This fact has open end opportu...

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Main Author:	Tengku Halim, Tengku Othman @ Tengku Ramli
Format:	Thesis
Language:	eng eng
Published:	2004
Subjects:	TK6570 Mobile Communication System.
Online Access:	https://etd.uum.edu.my/1457/1/TENGKU_HALIM_B._TENGKU_OTHMAN_%40_TENGKU_RAMLI.pdf https://etd.uum.edu.my/1457/2/1.TENGKU_HALIM_B._TENGKU_OTHMAN_%40_TENGKU_RAMLI.pdf
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id	my-uum-etd.1457
record_format	uketd_dc
spelling	my-uum-etd.14572013-07-24T12:12:01Z Towards Forecasting Business Prepaid Mobile Telecommunication Using Connectionist Model 2004 Tengku Halim, Tengku Othman @ Tengku Ramli Faculty of Information Technology Faculty of Information Technology TK6570 Mobile Communication System. Prepaid mobile service has become a necessity to the society and contributed success to many business. Realizing its importance, the mobile networks are moving towards higher data rates and packet oriented data transmission and mobile having more multimedia features. This fact has open end opportunities for new and more attractive mobile technologies. However, forecasting the business trend in this domain is a difficult task as it involves time dependency data. Hence, this study proposed a connectionist model as an alternative for forecasting mobile business trend. In this study, the teletraffic data was gathered from Celcom Service Control Point (SCP). Neurall network was trained with SCP data to forecast Celcom mobile business trend. This result will help Celcom in their business planning. This study has proven the capability and reliability of the connectionist model in performing the forecasting business prepaid mobile telecommunication. The performance of the back propagation model with the accuracy above 97 percent is satisfactory. The model is able to capture data from the call event records towards forecasting the trends of business prepaid mobile Telco, thus making it short and simple to use. 2004 Thesis https://etd.uum.edu.my/1457/ https://etd.uum.edu.my/1457/1/TENGKU_HALIM_B._TENGKU_OTHMAN_%40_TENGKU_RAMLI.pdf application/pdf eng validuser https://etd.uum.edu.my/1457/2/1.TENGKU_HALIM_B._TENGKU_OTHMAN_%40_TENGKU_RAMLI.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	TK6570 Mobile Communication System.
spellingShingle	TK6570 Mobile Communication System. Tengku Halim, Tengku Othman @ Tengku Ramli Towards Forecasting Business Prepaid Mobile Telecommunication Using Connectionist Model
description	Prepaid mobile service has become a necessity to the society and contributed success to many business. Realizing its importance, the mobile networks are moving towards higher data rates and packet oriented data transmission and mobile having more multimedia features. This fact has open end opportunities for new and more attractive mobile technologies. However, forecasting the business trend in this domain is a difficult task as it involves time dependency data. Hence, this study proposed a connectionist model as an alternative for forecasting mobile business trend. In this study, the teletraffic data was gathered from Celcom Service Control Point (SCP). Neurall network was trained with SCP data to forecast Celcom mobile business trend. This result will help Celcom in their business planning. This study has proven the capability and reliability of the connectionist model in performing the forecasting business prepaid mobile telecommunication. The performance of the back propagation model with the accuracy above 97 percent is satisfactory. The model is able to capture data from the call event records towards forecasting the trends of business prepaid mobile Telco, thus making it short and simple to use.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Tengku Halim, Tengku Othman @ Tengku Ramli
author_facet	Tengku Halim, Tengku Othman @ Tengku Ramli
author_sort	Tengku Halim, Tengku Othman @ Tengku Ramli
title	Towards Forecasting Business Prepaid Mobile Telecommunication Using Connectionist Model
title_short	Towards Forecasting Business Prepaid Mobile Telecommunication Using Connectionist Model
title_full	Towards Forecasting Business Prepaid Mobile Telecommunication Using Connectionist Model
title_fullStr	Towards Forecasting Business Prepaid Mobile Telecommunication Using Connectionist Model
title_full_unstemmed	Towards Forecasting Business Prepaid Mobile Telecommunication Using Connectionist Model
title_sort	towards forecasting business prepaid mobile telecommunication using connectionist model
granting_institution	Universiti Utara Malaysia
granting_department	Faculty of Information Technology
publishDate	2004
url	https://etd.uum.edu.my/1457/1/TENGKU_HALIM_B._TENGKU_OTHMAN_%40_TENGKU_RAMLI.pdf https://etd.uum.edu.my/1457/2/1.TENGKU_HALIM_B._TENGKU_OTHMAN_%40_TENGKU_RAMLI.pdf
_version_	1747827149909262336

Towards Forecasting Business Prepaid Mobile Telecommunication Using Connectionist Model

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