Comparative Study of Different Machine Learning Models for Customer Churn Analysis Using SMOTE and Feature Variation Along with Customer Segmentation

  • Mary Shana Thankam*
  • , Neamat Elgayar
    • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1   Link opens in a new tab Citation (Scopus)

Fingerprint

Dive into the research topics of 'Comparative Study of Different Machine Learning Models for Customer Churn Analysis Using SMOTE and Feature Variation Along with Customer Segmentation'. Together they form a unique fingerprint.
Sort by

Computer Science

INIS

Engineering

Material Science