Using Synthetic Data to Address Data Scarcity in AI-Driven Platforms for Improving Paid Advertising Campaigns
| dc.contributor.author | Ovnarski, Aleksandar | |
| dc.contributor.mentor | Hinkelmann, Knut | |
| dc.contributor.mentor | Schlick, Sandra | |
| dc.date.accessioned | 2025-07-09T12:45:08Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | This paper investigates the use of synthetic data as a viable solution to mitigate the challenge of data scarcity. | |
| dc.identifier.uri | https://irf.fhnw.ch/handle/11654/52038 | |
| dc.language.iso | en | |
| dc.publisher | Hochschule für Wirtschaft FHNW | |
| dc.spatial | Olten | |
| dc.subject.ddc | 330 - Wirtschaft | |
| dc.title | Using Synthetic Data to Address Data Scarcity in AI-Driven Platforms for Improving Paid Advertising Campaigns | |
| dc.type | 11 - Studentische Arbeit | |
| dspace.entity.type | Publication | |
| fhnw.InventedHere | Yes | |
| fhnw.StudentsWorkType | Master | |
| fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
| fhnw.affiliation.institut | Master of Science | de_CH |
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| relation.isMentorOfPublication | 038b519d-0e7a-49cf-bae9-55884d6a25d3 | |
| relation.isMentorOfPublication.latestForDiscovery | 6898bec4-c71c-491e-b5f8-2b1cba9cfa00 |