Customer Churn Prediction in Insurance Sector using Machine Learning and Optimization Techniques / Jajiam Nagaraju
Material type:
TextPublication details: Amaravathi VIT-AP University 2024Description: xv, 125p. ill. ; 30cmSubject(s): - Customer churn; Feature selection; BEE colony; Ant colony; Particle swarm optimization; Genetic algorithm; Firefly Enhanced; Ensemble classification; Meta-heuristic based feature selection (MHFS); AdaBoost; Customized Extreme Learning Machine(CELM); Deep learning; Survival Analysis; Recency Frequency Monetary; Multivariate Time Series; Binary Golden Eagle Optimizer; Blended Logistic Regression Decision Tree (BLRDT)
- 23rd ED. 006.31 NAG
| Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
| Thesis | VIT-AP Reference | Reference | 006.31 NAG (Browse shelf(Opens below)) | Not for loan | CSE | TH54 |
It includes Abstract, Acknowledgement, Table of Contents, List of Figures, List of Tables, List of Terms and Abbreviations, and Chapters etc.
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