| _version_ | 1866902193656823808 |
|---|---|
| author | Aritonang Rajagukguk, Sabar |
| author_facet | Aritonang Rajagukguk, Sabar |
| contents | <p>A dataset of 8,068 e-commerce customers with 12 demographic and behavioral attributes (e.g., age, income, purchase frequency, average order value, browsing duration). It was used to develop an unsupervised deep learning framework that integrates autoencoders and clustering methods to identify actionable customer segments.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16624059 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | E-commerce Customer Segmentation Dataset with Behavioral and Demographic Attributes Aritonang Rajagukguk, Sabar <p>A dataset of 8,068 e-commerce customers with 12 demographic and behavioral attributes (e.g., age, income, purchase frequency, average order value, browsing duration). It was used to develop an unsupervised deep learning framework that integrates autoencoders and clustering methods to identify actionable customer segments.</p> |
| title | E-commerce Customer Segmentation Dataset with Behavioral and Demographic Attributes |
| url | https://doi.org/10.5281/zenodo.16624059 |