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Churn Prediction in the Telecommunication industry using Machine Learning Techniques / Mehreen Ahmed

By: Ahmed Mehreen, 2016Contributor(s): Dr. Hammad Afzal Material type: Text

TextDescription: 80p. 30cmSubject(s): Computer Science MS.ThesisDDC classification: 004

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	Thesis	004 (Browse shelf)	Available		CL-T-1222
Thesis	Central Library (CL)	Central Library (CL)	Thesis	004 (Browse shelf)	Available		CL-T-981

Total holds: 0

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Previous	004 Exploitation and assessment of web-application vulnerabilities against data stealth attack by web crawlers and scrappers /	004 A state of the art anomaly IDS for hypervisor /	004 Efficient Recommender System for Cold Start items /	004 Churn Prediction in the Telecommunication industry using Machine Learning Techniques /	004 An Efficient Interactive Technique for Multiclass labeling Via Heuristic Model Segmentation in Laplacian Coordinates /	004 Cyber Attack Trends analysis in Education Sector using Distributed Honeypots /	004 Design, Development and Evaluation of EMS (Educational Management System) An E-Learning Framework /	Next

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