Kanthaka: Big Data Caller Detail Record (CDR) Analyzer for Near Real Time Telecom Promotions

被引:7
作者
Jayawardhana, Pushpalanka [1 ]
Kumara, Ananda [1 ]
Perera, Dhanika [1 ]
Paranawithana, Amila [1 ]
机构
[1] Univ Moratuwa, Dept Comp Sci & Engn, Moratuwa, Sri Lanka
来源
FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS 2013) | 2013年
关键词
CDR; NoSQL; Big Data;
D O I
10.1109/ISMS.2013.40
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the competitiveness that is growing in the telecom industry, the operators seek for ways to attract and keep the subscribers in their network. Giving away attractive promotions to their subscribers is a powerful and commonly used approach in that context. With the technical limitations and the scales of the rising subscriber base, these promotions have been limited to a very narrow pattern. In order to gain a competitive advantage, the operators need new technologies and methodologies to support more attractive newer patterns of promotions, despite the challenges involved in complex analyzing procedures. In this research study, we have come up with a system to select eligible users for a particular predefined promotion, analyzing the Caller Detail Records, while being scalable for a rapidly escalating subscriber base.
引用
收藏
页码:534 / 538
页数:5
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