IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Telecom churn prediction using machine learning algorithm
Authors Name: Pallavi Mogare , Vaishnavi kadam , Mohini Pawar , Gayatri Kadam
Unique Id: IJSDR2205102
Published In: Volume 7 Issue 5, May-2022
Abstract: Customers always play vital role in increasing profit and revenue of every organization; hence, to gain customer satisfaction it is important for the organizational managers to maintain one efficient customer relationship management system by selecting the target customers and maintaining effective relationship with them. In current days, the customers are getting more attracted towards the quality of service (QoS) provided by the organizations. However, the current era is evidencing higher competition in providing technologically advanced QoS to the customers. Nevertheless, efficient customer relationship management systems can be advantageous for the organization for gaining more customers, maintaining customer relationships and improve customer retention by adding more profit to the organizational business. Furthermore, the machine learning models such as support vector machine algorithms can add more value to the customer retention strategies.
Keywords: customer relationship management, customer retention, machine learning, support vector algorithm.
Cite Article: "Telecom churn prediction using machine learning algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 5, page no.528 - 530, May-2022, Available :http://www.ijsdr.org/papers/IJSDR2205102.pdf
Downloads: 000336257
Publication Details: Published Paper ID: IJSDR2205102
Registration ID:200505
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 528 - 530
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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