Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

Reach Us +1 850 754 6199

Research Article, J Comput Eng Inf Technol Vol: 6 Issue: 2

Multidimensional Analysis and Mining of Call Detail Records Using Pattern Cube Algorithm

Elusade O Moses1 and Osuolale A Festus2*
1Department of Computer Science, Bayero University, Kano, Nigeria
2Department of Computer Science, The Federal University of Technology, Akure, Nigeria
Corresponding author : Osuolale A Festus
Department of Computer Science, The Federal University of Technology, Akure, Nigeria
Tel: +234(0) 803 846 6943
E-mail: [email protected]
Received: March 23, 2017 Accepted: April 01, 2017 Published: April 03, 2017
Citation: Moses EO, Festus OA (2017) Multidimensional Analysis and Mining of Call Detail Records Using Pattern Cube Algorithm. J Comput Eng Inf Technol 6:2. doi: 10.4172/2324-9307.1000168

Abstract

In the emerging and keenly competitive telecommunications market, it is imperative for mobile telecom operators to carry out regular analysis of their massive stored call logs to maintain and manage their numerous subscribers. Such sequential stream data analysis requires an efficient data mining algorithm and techniques bearing in mind the challenges posed by its massive size. Many data mining applications have been adapted for similar purposes. However, there has not been much emphasis on an in-depth mining of call detail records (CDR) as a multidimensional sequential stream data with its attending storage overhead. This paper proposes a novel algorithm for the multidimensional analysis of call records. Pattern Cube Algorithm (PCA) was implemented with a computer program and established empirically that: a massive CDR can be meaningfully summarized into a handy record as data mart with a gain of about 90% reduction in size and the possibility of processing a huge data from any server irrespective of the size of the target data. A quantitative exploration of the various gains in IT resources is conducted through an extensive experimental study on a sample of CDR adapted from MTN Communications Nigeria Limited.

Keywords: Call detail records (CRD), Data mining, Data cube, Frequent pattern algorithm, Multidimensional analysis, MTN, Pattern cube algorithm(PCA)

Track Your Manuscript

Share This Page