Using Anomaly Detection to Identify Rejected Media Plans in Advertisement Planning : A feasibility study of using one-class classification and binary classification with artificially generated outliers to identify media plans most likely to be rejected
Planning an ad campaign can be a complex and tedious process. A media plan is a consolidated version of howinvested capital should be allocated depending on the advertiser’s requirements for the campaign. Ultimately, the advertiser must approve a proposed media plan before an ad campaign can be purc...
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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-280581 |