Abstract
This paper approaches toward the standardization of telecom customer’s behavior by specifying the call activities like frequency, duration, time of calls with the type of calls like local, national, and international. In the same way specifying the SMS/MMS activities as behavior of customers plus the rate of data pack and talk-time recharge. It is an attempt to identify meaningful attributes to describe behavior of customer plus study the available call detail records in big data environment and recognize the procedure that uses customer behavior for the designing of data product which is tariff plan.
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References
“Consumer_behavior_models” https://www.tutorialspoint.com/consumer_behavior/consumer_behavior_models_types.htm.
Yongbin Zhang, Ronghua Liang, Yeli li, “Behavior-Based Telecom Tariff Service Design with Neural Network Approach,” 2011 Crown.
Cisco Unified Communications Manager Call Detail Records Administration Guide OL.
David C., Jeremy Iverson, Shaden Smith and George Karypis, “Big Data Frequent Pattern Mining,” http://glaros.dtc.umn.edu/gkhome/node/1121.
Yen-hui Liang, and Shiow-yang Wu, “Sequence-Growth: A Scalable and Effective Frequent Itemset Mining Algorithm for Big Data Based on MapReduce Framework,” IEEE International Congress on Big Data, 2015, pp 393–400.
Sankalp Mitra, Suchit Bande, Shreyas Kundale, Advait Kulkarni, Leena A. Deshpande, “Efficient FP-Growth using Hadoop—(Improved Parallel FP-Growth),” International Journal of Scientific and Research Publications, July 2014, Volume 4, Issue 7, pp 1–3.
Haoyuan Li et al., “PFP: Parallel FP-Growth for Query Recommendation,” ACM conference on Recommendation Systems, 2008, pp 107–114.
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Shrivastava, P., Sahoo, L., Pandey, M. (2018). Recognition of Telecom Customer’s Behavior as Data Product in CRM Big Data Environment. In: Somani, A., Srivastava, S., Mundra, A., Rawat, S. (eds) Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation, Systems and Technologies, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-10-5828-8_16
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DOI: https://doi.org/10.1007/978-981-10-5828-8_16
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