Digital advertising fraud prediction using OLS regression
Digital advertising has become the essential tools for every business. The digital advertising budget is increasing over the years. There are more businesses transform to digital advertising during the pandemic, however, the beginner of advertiser might lack of knowledge on digital advertisement at...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2023
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| Online Access: | http://eprints.utar.edu.my/5671/ http://eprints.utar.edu.my/5671/1/NG_KAH_MUN.pdf |
| _version_ | 1848886473906978816 |
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| author | Ng, Kah Mun |
| author_facet | Ng, Kah Mun |
| author_sort | Ng, Kah Mun |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | Digital advertising has become the essential tools for every business. The digital advertising budget is increasing over the years. There are more businesses transform to digital advertising during the pandemic, however, the beginner of advertiser might lack of knowledge on digital advertisement at the same time pouring extra capital into digital advertising. Furthermore, the fraudulent activity in digital advertisement is also increasing which is harming the current digital marketing environment as well as every party involved. This study examines the factors affect conversion fraud in digital advertising. A sample of 956 observation of computing generate data is used to examine the variables towards conversion fraud. The result shows that advertiser, ad log, item, goal, and ad slot have positive relationship towards conversion fraud. |
| first_indexed | 2025-11-15T19:39:04Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-5671 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:39:04Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-56712023-07-06T13:52:28Z Digital advertising fraud prediction using OLS regression Ng, Kah Mun HD Industries. Land use. Labor Digital advertising has become the essential tools for every business. The digital advertising budget is increasing over the years. There are more businesses transform to digital advertising during the pandemic, however, the beginner of advertiser might lack of knowledge on digital advertisement at the same time pouring extra capital into digital advertising. Furthermore, the fraudulent activity in digital advertisement is also increasing which is harming the current digital marketing environment as well as every party involved. This study examines the factors affect conversion fraud in digital advertising. A sample of 956 observation of computing generate data is used to examine the variables towards conversion fraud. The result shows that advertiser, ad log, item, goal, and ad slot have positive relationship towards conversion fraud. 2023 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/5671/1/NG_KAH_MUN.pdf Ng, Kah Mun (2023) Digital advertising fraud prediction using OLS regression. Final Year Project, UTAR. http://eprints.utar.edu.my/5671/ |
| spellingShingle | HD Industries. Land use. Labor Ng, Kah Mun Digital advertising fraud prediction using OLS regression |
| title | Digital advertising fraud prediction using OLS regression |
| title_full | Digital advertising fraud prediction using OLS regression |
| title_fullStr | Digital advertising fraud prediction using OLS regression |
| title_full_unstemmed | Digital advertising fraud prediction using OLS regression |
| title_short | Digital advertising fraud prediction using OLS regression |
| title_sort | digital advertising fraud prediction using ols regression |
| topic | HD Industries. Land use. Labor |
| url | http://eprints.utar.edu.my/5671/ http://eprints.utar.edu.my/5671/1/NG_KAH_MUN.pdf |