Atelier Visualisation et extraction de connaissances - Irisa

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22 FIG. 7 – Results of CA on the second dataset 5 Conclusion and future works We have presented in this paper the intensive use of Correspondence Analysis for exploration of Telecommunication Data. We have successfully adapted CA on Telecommunication Data and developed a visual tool which provides an interactive extraction of interesting information. The experimental results on two datasets have shown that groups of customers with same behavior could be found. This will help telecommunication companies to make appreciated policies for better caring their customers. It is also worth if we monitor the behaviors of customers in time. We plan to integrate this feature in future works. F.Poulet, B.Le Grand : 9e Atelier Visualisation et Extraction de Connaissances
Group 1: customer susing VinaPhone (region II) References FIG. 8 – Two groups found in axes 15 and 16 Group 2: customers using VinaPhone (region 2), Viettel and inter-province EVN Benzécri, J.-P. (1992), Correspondence Analysis Handbook Statistics, CRC Press. Greenacre, M.J. (1984), Theory and Application of correspondence analysis. Academic Press, London. Greenacre, M.J. (2007), Correspondence analysis in practice, 2 nd edition. Chapman and Hall Morin, A. (2004), “Intensive use of correspondence analysis for information retrieval,” 26 th International Conference on Information Technology Interfaces, p. 255 – 258. Pham, N-K, Morin A, Gros P, Le Q-T (2009a) “Intensive use of factorial correspondence analysis for large scale content-based image retrieval” in Advances in Knowledge Discovery and Management, AKDM'09, Springer-Verlag. Pham, N-K, Morin A, Gros P, Le Q-T (2009b) “Accelerating image retrieval using factorial correspondence analysis on GPU”, in 13th International Conference on Computer Analysis of Images and Patterns, CAIP'09, Lecture Notes in Computer science, Volume 5702, Pages 565-572, Münster, Allemagne. F.Poulet, B.Le Grand : 9e Atelier Visualisation et Extraction de Connaissances 23
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