Submitted by: Submitted by betuur
Views: 630
Words: 9489
Pages: 38
Category: Science and Technology
Date Submitted: 05/27/2012 04:33 AM
DECLARATION
We, Joshua Bonsu, Claris Sackey and Magnus Wiedong, do hereby declare that the project DATA MINING IN TELECOMMUNICATION IN GHANA was carried out entirely by us and under the supervision of Mr. Carl Hope Korkpoe.
…………………… Joshua Bonsu
……..…………………. Claris Sackey
……………………….. Magnus Wiedong
……............................ Mr. Carl Hope Korkpoe
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DEDICATION We dedicate this project to our parents, Madam Rita Dwumfour Bonsu, Mr. & Mrs. Sackey and Mr. & Mrs. Tampellu.
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ACKNOWLEDGEMENT We would like to first and foremost thank the almighty God for the gift of life and for making this project a success. We would also like to acknowledge Mr. Daniel Oboubi (HOD), Mr. Carl Hope Korkpoe (Supervisor), and Daisy Boafo.
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ABSTRACT
Telecommunication companies generate a tremendous amount of data. These data include call detail data, which describes the calls that traverse the telecommunication networks, network data, which describes the state of the hardware and software components in the network, and customer data, which describes the telecommunication customers. This project describes how data mining can be used to uncover useful information buried within these data sets. Several data mining applications are described and together they demonstrate that data mining can be used to identify telecommunication fraud, improve marketing effectiveness, and identify network faults.
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TABLE OF CONTENTS DECLARATION …………………………………………………………………..…….i DEDICATION……………………………………………………………………..……ii ACKNOWLEDGMENT………………………………………………………..……….iii ABSTRACT……………………………………………………………………………..iv TABLE OF CONTENTS………………………………………………………………...v CHAPTER 1 1.0 Introduction…………………………………………………………….………1 1.1 1.2 1.3 1.4 1.5 1.6 CHAPTER 2 2.0 State of telecommunication in Ghana………………………………………..16 2.1 Telecommunication industry in Ghana ……….……………………..17 definition ……………………………………………………….………1 History………………………………………………………………….1 Advantages of data mining………………………………………..……3 Disadvantages of data...