Using Big Data Analysis to Retain Customers for Telecom Industry-Reference-Cited by-同舟云学术

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Using Big Data Analysis to Retain Customers for Telecom Industry

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence - ICCAI '19
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Author:

Gu Yuanhu¹,Malicdem Alvin R.²,Cruz Josephine S. Dela³,Palaoag Thelma Domingo³

Affiliation:

1. College of Information Technology, and Computer Science, University of the Cordilleras, Baguio, Benguet, Philippines

2. College of Information Technology, Don Mariano Marcos Memorial State University, La Union, Philippines

3. College of Information Technology and Computer Science, University of the Cordilleras, Baguio, Benguet, Philippines

Publisher

ACM Press

Reference11 articles.

1. Anujkumar Tiwari, Reuben Sam, Shakila Shaikh. Analysis and prediction of churn customers for telecommunication industry. 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). DOI= https://doi.org/10.1109/I-SMAC.2017.8058343.

2. Giridhar Maji, Sharmistha Mandal, Souvik Bhattacharya, Soumya Sen. March 2017. Designing combo recharge plans for telecom subscribers using itemset mining technique. 2017 IEEE International Conference on Industrial Technology (ICIT). DOI= https://doi.org/10.1109/ICIT.2017.7915539.

3. Adnan Amin, Sajid Anwar, Awais Adnan, Muhammad Nawaz, Kaizhu Huang. May 2017. Customer churn prediction in the telecommunication sector using a rough set approach. Neurocomputing, Volume 237, 10 May 2017, Pages 242--254. DOI= https://doi.org/10.1016/j.neucom.2016.12.009.

4. Hui Li, Deliang Yang, Lingling Yang, YaoLu,Xiaola Lin. Oct. 2016. Supervised Massive Data Analysis for Telecommunication Customer Churn Prediction. 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud). DOI= https://doi.org/10.1109/BDCloud-SocialCom-SustainCom.2016.35.

5. Rahat Iqbal, Faiyaz Doctor, Brian More, Shahid Mahmud, Usman Yousuf. April 2018. Big data analytics: Computational intelligence techniques and application areas. Technological Forecasting and Social Change, In press, corrected proof, Available online 24 April 2018. DOI= https://doi.org/10.1016/j.techfore.2018.03.024.

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