Assessment of Privacy-preserving Computation Techniques for Marketing Analytics
Nowadays, a large number of services require personal information for analy- sis, which brings privacy concerns. Notably, the marketing departments strive for detailed personal information for a more personalized advertising expe- rience. The data anonymization helps preserve the privacy of the indi...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280884 |