Churn Discovery On Large Telecom Data With Apriori Algorithm
Roopa B
, Dr. R. Nagaraja , T. Shilpa
Apriori,SeedPattern,Data extraction
Basically, customers are provided with an opportunity to switch from one service provider to another service provider in Telecommunication industries. Telecom industries are currently more concerned about the churn customers due to competition in the market with other telecom industries. In order to have a deeper understanding of customer churn, apriori algorithm is used to show the most accurate churn prediction. Telecom industries enhance their services to reduce the number of customer churn. In this project ,attribute selection method based on apriori technique is used. According to this algorithm attribute selection problem can be replaced. A sample dataset is used to test the algorithm and obtain the number of customer who fall under churn based on the threshold value provided. The threshold value is calculated with mean weighted average vector. Recent, a robust churn prediction model has been applied in telecom industries.
"Churn Discovery On Large Telecom Data With Apriori Algorithm", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 9, page no.107 - 113, September-2018, Available :https://ijsdr.org/papers/IJSDR1809017.pdf
Volume 3
Issue 9,
September-2018
Pages : 107 - 113
Paper Reg. ID: IJSDR_180636
Published Paper Id: IJSDR1809017
Downloads: 000346998
Research Area: Engineering
Country: Bangalore, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
