Decision Model Development Based on Support Vector Machines Technique (Case Study: Churn Management in Telecommunication Industry)
The telecommunication industry has become an industry with fierce competition. Many service providers offer new products with promising services to regain customers' satisfaction. Therefore, churn management becomes a major concern to monitor customers with high churning probability. By identif...
Saved in:
Main Author: | GUMILANG (NIM: 23406016), SATRIA |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/12641 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
A Machine Learning Algorithm for Churn Reduction & Revenue Maximization: An Application in the Telecommunication Industry
by: Hargreaves, Carol Anne
Published: (2021) -
Churn prediction in telecommunication with social network analysis and MapReduce
by: Nguyen, Ngoc Tram Anh
Published: (2016) -
MACHINE LEARNING TECHNIQUES FOR CUSTOMER CHURN PREDICTION IN THE AQUACULTURE TECHNOLOGY SECTOR: AN INDUSTRY ANALYSIS
by: Luh Putu Asri Cahyani, Ni -
Industry Churning, the Labor Market and Workers' Welfare
by: Pascual, Clarence
Published: (2009) -
PREDICTING BANK CUSTOMER CHURN USING LOGISTIC REGRESSION AND DECISION TREES
by: Fachrizal Amni, Azka