Fliek, E.J. (2016) Classification of Cookie Warnings. Bachelor's Thesis, Artificial Intelligence.
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Abstract
The European Union dictates that visitors of websites should be warned about the placement of cookies on their computer. Web crawlers should not include cookie warnings in their searchable database. This paper compares the application of several classification algorithms, namely Naıve Bayes, Decision trees, C4.5 and Maximum Entropy, to the identifcation of cookie warnings. The results show that text classification is an effective tool in identifying cookie warnings.
| Item Type: | Thesis (Bachelor's Thesis) |
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| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Feb 2018 08:11 |
| Last Modified: | 15 Feb 2018 08:11 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/13695 |
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