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Improvement of CRM using Data Mining: A Case study at Corporate Telecom Sector

by Sanjib Kumar Routray, Sanjit Kumar Dash, Sasmita Mishra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 53
Year of Publication: 2019
Authors: Sanjib Kumar Routray, Sanjit Kumar Dash, Sasmita Mishra
10.5120/ijca2019919413

Sanjib Kumar Routray, Sanjit Kumar Dash, Sasmita Mishra . Improvement of CRM using Data Mining: A Case study at Corporate Telecom Sector. International Journal of Computer Applications. 178, 53 ( Sep 2019), 12-20. DOI=10.5120/ijca2019919413

@article{ 10.5120/ijca2019919413,
author = { Sanjib Kumar Routray, Sanjit Kumar Dash, Sasmita Mishra },
title = { Improvement of CRM using Data Mining: A Case study at Corporate Telecom Sector },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2019 },
volume = { 178 },
number = { 53 },
month = { Sep },
year = { 2019 },
issn = { 0975-8887 },
pages = { 12-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number53/30912-2019919413/ },
doi = { 10.5120/ijca2019919413 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:53:53.370744+05:30
%A Sanjib Kumar Routray
%A Sanjit Kumar Dash
%A Sasmita Mishra
%T Improvement of CRM using Data Mining: A Case study at Corporate Telecom Sector
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 53
%P 12-20
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As Customer relationship management (CRM) is a well established concept and its practice to enable the realization of successful Telecommunication system, data mining techniques is developed for improving the customer relationship management part mainly in Corporate Telecom Sector. Considering the existing methodology, a well established methodology with data mining is needed for development of good integrated approach with growth in time and space complexities. The aim is to find the strategic point on the essential part of Telecommunication industry by exploring the techniques of data mining. Then the focus is on presenting a new methodology in case of mobile services on the perceptions of customers of Telecommunication basing on applicability of data mining techniques to CRM databases by generating Association rules from frequent item sets on the proposed approach F-MFPG (Fast Modified Frequent Pattern Growth) by using FFIM (Fast Frequent Item sets Mining) Algorithm under concept of data mining and predicting the profit of Corporate Telecom Sector and predicting the churn for retention of customers for efficient managerial decision for reaching the ultimate goals by proposing a suitable classification techniques in data mining algorithms.

References
  1. Adam, Braff., Passmore, William,J. and Simpson, Michael (2006) “Going the distance with telecom customers” In the proceedings of The Mckinsey Quarterly,No.4, (pp.83).
  2. Ananthi, D., Karthiga, E., Vithiskumar, R.(2013) “Optimizing the CRM process in Product Market place by Association Rule Mining Technology” In the proceeding of Journal of Environmental Science Engineering & Technology, Vol-2 (pp.412-416)
  3. Alawin, Ayman., Mohmmad, Al., aitah, ma., Balqua, Al (2014) “ Proposed ranking for point of sales using data mining for Telecom Operations” In the proceeding of International Journal of Database management system,Vol-6.
  4. Bagozzi, Richard P.(1995). ”Reflections on Relationship marketing in Consumer markets” In proceeding of Journal of the Academy of Marketing Science, 23(Fall), (pp. 272-277).
  5. Berry, l., Shostack, G., and .Upah, G. (2003). “Emerging perspectives on service marketing”,Chacago,IL, American marketing Association (pp.25-28).
  6. Bhave, Ashish (2002). “Customer Satisfaction Measurement” in the proceeding of Quality and Productive journal, ( pp.562-572).
  7. Chaturvedi, Mukesh., Chaturvedi, Abhinav (2005) “Customer Relationship Management-An India Perspective” In the proceeding of Excel Books,ISBN 10: 8174464565, ISBN 13: 9788174464560,New Delhi (pp-36).
  8. Dahiya, Kiran., Talwar, Kanika (2015) “Customer Churn Prediction in Telecommunication Industry using Data mining technique-A Review” In the proceeding of International Journal of Advanced Research in Computer Science and Software Engineering, Vol-5, Issue-4.
  9. Heling, Jiang., Yang, An., Yan, Fengyun.,Hang, Miao (2016) “Research on pattern Analysis and data Classification methodology of Data mining and knowledge Recovery”, In the proceeding of International journal of Hybrid Information Technology, IEEE, Vol-9( pp.179-186).
  10. Khan, M N., Rahman, Abdur (2017) “An Assessment of data mining based CRM techniques for enhancing profitability” In proceeding of Association of Modern Education & Computer science, (pp.30-40).
  11. Meltzer, Michael.“Are your customer profitable and segment your customer based on profitability”
  12. Pradnya, A., Shirasth, Verma, Vijaya Kumar (2013) “ A recent Survey on Incremental Temporal Association Rule Mining” In the proceeding of International Journal of Innovative Technology & Exploring Engineering, Vol-3,Issue-1( pp.88-90).
  13. Sasikala (2006) “Telecom Services: Measurement of Customer satisfaction” In the proceeding of The ICFAI, Journal of Management Research,Vol-5,Issue-10 (pp.35-53).
  14. Srivastava, R., Bhangde, Jatin., Bhatt, Nirav., Gogri, Kunal and Marfatia, Hemat (2006) “ Role of Competition in Growing Markets: Telecom Sector” In the proceeding of Indian Journal of Marketing ( pp-8).
  15. Senkamalavalll, R., Dr. Bhubaneswari,T (2013)“Data mining techniques for CRM” In the proceeding of International journal of Scientific & Engineering Research, Vol-4, Issue-4, (pp. 509-513).
  16. Tejaswini, Hilage, Kulkarni, R.V (2012)” Review the literature of Data Mining” In the proceeding of IJRRS, Vol-II ( PP.107-114).
Index Terms

Computer Science
Information Sciences

Keywords

Customer relationship management Fast Modified Frequent Pattern Growth Fast Frequent Item sets Mining Association Classification True Positive False Positive and Telecommunication

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