Using big data analysis to retain customers for tele comindustry

Simple item page
creativework.keywordsBig data analysis; retain customers; customer churn; telecom
dc.contributor.authorGu, Yuanhu
dc.contributor.authorMalicdem, Alvin R.
dc.contributor.authorDela Cruz, Josephine S.
dc.contributor.authorPalaoag, Thelma Domingo
dc.date.accessioned2026-03-12T00:34:58Z
dc.date.available2026-03-12T00:34:58Z
dc.date.issued2019-04-19
dc.description.abstractNowadays, telecommunication markets are becoming more and more competitive, and customer churn is becoming more and more serious. In the tough competitive mobile market, Customer Churn Management is becoming more and more critical. In developing countries, most customers switch service providers because of good promotional incentives and lower monthly costs offered by competitive service providers. How to predict customer churn quickly and accurately becomes very important. In this paper, the researchers successfully analyzed the customer churn using big data feature analysis and multi-feature analysis. User data were modeled by XGBoost algorithm. The model is optimized repeatedly with GridSearchCV as a parameter tool. The accuracy of the model on the test set is 85.1%. The researchers predicted about 11000 customer lists per month that may be about to churn. Using K-means clustering method, 11000 churn target customers per month were classified into three categories and telecom companies are suggested to take some solutions which are found by feature analysis to retain customers. This big data analysis can be used to retain customers for the telecom industry.
dc.identifier.citationGu, Y., Malicdem, A. R., Dela Cruz, J. S., & Palaoag, T. D. (2019). Using big data analysis to retain customers for telecomindustry. ACM Digital Library, 38-43. https://doi.org/10.1145/3330482.3330510
dc.identifier.doihttps://doi.org/10.1145/3330482.3330510
dc.identifier.urihttps://lakasa.dmmmsu.edu.ph/handle/123456789/1178
dc.language.isoen
dc.publisherACM Digital Library
dc.relation.urihttps://dl.acm.org/doi/10.1145/3330482.3330510
dc.sdgSDG 9
dc.sdgSDG 8
dc.subjectBig Data Analytics
dc.subjectCustomer Retention Strategies
dc.subjectTelecommunications Industry
dc.subjectData Mining in Business
dc.subjectCustomer Relationship Management (CRM)
dc.subjectPredictive Analytics
dc.subject.ddcCustomer relations
dc.subject.ddcCustomer retention
dc.subject.ddcCustomer management
dc.subject.ddcData mining
dc.subject.ddcBig data analytics
dc.subject.lcshCustomer relations--Management
dc.subject.lcshCustomer retention
dc.subject.lcshBig data
dc.subject.lcshData mining
dc.subject.lcshTelecommunicatio--Management
dc.subject.lcshTelecommunication industry--Data processing
dc.titleUsing big data analysis to retain customers for tele comindustry
dc.typeArticle
oaire.citation.endPage43
oaire.citation.startPage38
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
PUB-JAPE-MLUC-2019-GUY-FT.pdf
Size:
658.33 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Journal articles published externally