• Wednesday, Jun 24th, 2026

International Journal of Multidisciplinary and Scientific
Emerging Research (IJMSERH)

|Peer Reviewed, Refereed & Open Access Journal | Follows UGC CARE Journal Norms and Guidelines|

|ISSN 2349-6037|Approved by ISSN, NSL & NISCAIR| Impact Factor: 9.274 |ESTD:2013|

|Scholarly Open Access Journal, Peer-Reviewed, and Refereed Journals, Impact factor 9.274 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Multidisciplinary, Quarterly, Citation Generator, Digital Object Identifier(DOI)|

Article

TITLE An Explainable Machine-Learning Framework for Customer Churn Prediction and LLM-Assisted Retention Analytics
ABSTRACT Abstract
AUTHOR Adurthi Yamini, Dr. Chiraparapu Srinivasa Rao PG Scholar, Department of Computer Science, S.V.K.P & Dr. K.S. Raju Arts and Science College (Autonomous), Penugonda, Affiliated to Adikavi Nannaya University, Andhra Pradesh, India Associate Professor, Department of Master of Computer Applications, S.V.K. P & Dr. K. S. Raju Arts and Science College (Autonomous), Penugonda, Affiliated to Adikavi Nannaya University, Andhra Pradesh, India
PUBLICATION DATE 2026-06-23 20:35:07
VOLUME 14
ISSUE 2
DOI DOI: 10.15662/IJMSERH.2026.1402020
PDF pdf/2026/4/20_An Explainable Machine-Learning Framework for Customer Churn Prediction and LLM-Assisted Retention Analytics.pdf
KEYWORDS
References Reference

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