Abstract
The income of telecommunication companies depends on the accurate analysis of customer behavior, on subsequent adaptation of the company to the technological advances in the competitive GSM market, and on marketing new products and services. However, the analysis of sensitive customer data outside these companies is problematic, as it is not usually possible to get informed consent of the customers. In this work, we describe a simulator to generate realistic GSM customer data and open several large datasets generated with this simulator, to the use of researchers. On these datasets, it is possible to test algorithms of customer behavior analysis, including churn analysis, customer segmentation, and anomaly detection.
Translated title of the contribution | A simulator for generating realistic simulations of telecom customer behaviors |
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Original language | Turkish |
Title of host publication | 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings |
Publisher | IEEE |
Pages | 537-540 |
Number of pages | 4 |
ISBN (Electronic) | 9781509016792 |
DOIs | |
Publication status | Published - 20 Jun 2016 |
Externally published | Yes |
Event | 24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Duration: 16 May 2016 → 19 May 2016 |
Conference
Conference | 24th Signal Processing and Communication Application Conference, SIU 2016 |
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Country/Territory | Turkey |
City | Zonguldak |
Period | 16/05/16 → 19/05/16 |
Keywords
- anomaly detection
- churn
- customer behavior analysis
- customer segmentation
- GSM
- telecommunication operator