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Data Mining and Machine Learning Applications
book

Data Mining and Machine Learning Applications

by Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi
March 2022
Intermediate to advanced content levelIntermediate to advanced
496 pages
12h 39m
English
Wiley-Scrivener
Content preview from Data Mining and Machine Learning Applications

8Modified Cross-Sell Model for Telecom Service Providers Using Data Mining Techniques

K. Ramya Laxmi1*, Sumit Srivastava2, K. Madhuravani1, S. Pallavi1 and Omprakash Dewangan3

1Department of CSE, Sreyas Institute of Engineering and Technology, Nagole, Hyderabad, India

2Dept. of Computer Science & Engineering Birla Institute of Technology, Mesra, Ranchi, India

3CSE, Kalinga University, Naya Raipur, India

Abstract

Intensified competition and frequent shifting of the customer base for fixed-line telecom service providers, in recent years, has increased the necessity for better targeting and segmenting prospects and customers for cross-selling and up-sell of products and services. Telecom service providers now know and understand that old-fashioned marketing is no longer the option because of the abysmally low hit rates in the targeting of customers and the consequently low Return on Investment. Decision-makers in most fixed-line telecom operators are now of the view that better and accurate targeting of customers is only possible with accurate predictive analytics and data mining. A logistic regression algorithm has been used in this case study to identify those customers with the highest propensity to buy new products and services.

Keywords: Cross-sell model, data mining techniques, logistic regression algorithm

8.1 Introduction

A gold mine of the fixed-line telecom companies is their customer base. In the region across Asia Pacific, the telecom as a sector has witnessed ...

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Publisher Resources

ISBN: 9781119791782Purchase Link