International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Novel clustering algorithm for moderating the risk of customer churn, Authors : K. Naga Dushyanth Reddy, Dr.N. Kasivishwanath, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 6, Issue 5, September - October 2017

Title:
Novel clustering algorithm for moderating the risk of customer churn
Author Name:
K. Naga Dushyanth Reddy, Dr.N. Kasivishwanath
Abstract:
Abstract As market competition surging everyday in the telecom sector, customer churn management has become an imperative for the telecom organizations to enhance their profit levels and provide better services. The conventional churn prediction models in the telecom sector don’t work well while dealing with the big data. Decision makers are consistently confronted with inaccurate operations management. As a solution to these adversities, several clustering methods are proposed such as Semantic Driven Subtractive Clustering Method (SDSCM) with K-means and K-median algorithms which are failed to address processing of numerous amount of data. The proposed system is a method of implementing Semantic Driven Subtractive Clustering Method (SDSCM) with K-medoid algorithm, which is capable of processing gigantic data sets and provides 3-D Trajectories that help in efficient decision making by simulating marketing strategies to ensure profit maximization. Keywords: Customer churn, Clustering, K-medoids, SDSCM, Map Reduce.
Cite this article:
K. Naga Dushyanth Reddy, Dr.N. Kasivishwanath , " Novel clustering algorithm for moderating the risk of customer churn " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 6, Issue 5, September - October 2017 , pp. 035-038 , ISSN 2278-6856.
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