Atelier Visualisation et extraction de connaissances - Irisa

Correspondence Analysis for
Exploration of Telecommunication Data
Nguyen-Khang Pham*, Hung-Thang Pham**
*Can Tho University
1, Ly Tu Trong Street, Can Tho, Viet Nam
pnkhang@cit.ctu.edu.vn
http://www.ctu.edu.vn
**Can Tho – Hau Giang Telecommunications
11A, Phan Dinh Phung Street, Can Tho, Viet Nam
thangph.cthg@vnpt.vn
http://www.vnpt.vn
Summary. We propose, in this paper, an interactive graphical tool, which allows
us to analyze, visualize and extract knowledge from telecommunication
data using Correspondence Analysis. Telecom companies have a very large
volume and valuable data source on consumer information and call record details
(CRD’s). The CRD’s not only indicate when a service is used, but also
said that it is used. How we can point out what customers need, and why they
should use a certain service. CRD's also said customers who are unhappy, and
customers who bring more profit than others. Therefore, challenges that telecom
companies do face is to understand the customer, to study their habits of
using telecommunication services. Correspondence Analysis (CA) is originally
for analysis of contingency tables. In order to adapt CA on telecommunication
data, they are coded in a form of contingency table crossing customers and
telecommunication services. Applying successively CA on this table allow us
to explore groups of customers who have the same habit of using telecommunications
services. First, the results of the first CA are visualized. Then the
user selects a group of customers and performs the second CA on the new contingency
table. This procedure can continue until a “pure” group of customers
is discovered. An application to the CRD’s database of Can Tho – Hau Giang
Telecommunications shows the interest of our tool for extracting knowledge
from telecommunication data.
1 Introduction
Nowadays, information has become a powerful resource of modern business. More than
ever, the business organization in the world have focused on developing information systems
as a key source of creating competitive advantage and improve responsiveness to market.
Not outside the telecommunications industry trend, telecom companies have very valuable
data source that is a large volume of data on consumer information and calls record detail
(CRD’s), every day millions of calls recorded in exchanges with the first goal is to charge the
customer and network management. The call records not only indicate when a service is
used, but also said that service is used, how it can point out what clients need, and why cus-
F.Poulet, B.Le Grand : 9e Atelier Visualisation et Extraction de Connaissances 13