Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/152238| Author(s): | Ricardo Emanuel Padrão Sereno Cabral |
| Title: | Leveraging Churn Prediction to Drive Effective Decision-Making in the Media Industry |
| Issue Date: | 2023-07-06 |
| Subject: | Outras ciências da engenharia e tecnologias Other engineering and technologies |
| Scientific areas: | Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias Engineering and technology::Other engineering and technologies |
| DOI: | 10.34626/hbcz-fa75 |
| TID identifier: | 203426762 |
| URI: | https://hdl.handle.net/10216/152238 |
| Document Type: | Dissertação |
| Rights: | restrictedAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 637277.1.pdf | Leveraging Churn Prediction to Drive Effective Decision-Making in the Media Industry | 4.34 MB | Adobe PDF |  View/Open |
| 637277.2.pdf Restricted Access | A Novel Feature Selection Algorithm Based on Pareto-Front and Multi-objective Approaches | 593.68 kB | Adobe PDF | View/Open |
| 637277.pdf Restricted Access | Unveiling Subscription Churn: A Machine Learning Analysis of Customer Behavior in the Media Industry | 1.12 MB | Adobe PDF | View/Open |
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