Today, many magazine publishing houses faces the problem of future predictions of their products. In many cases, these predictions are made by employees based on their personal experiences and guesses. The problems of this attitude are high expanses on making the predictions and increased expanses when those predictions are wrong. The aim of this work is to study existing regression methods of automatic prediction and create a solution for predicting the magazine sales in Russian publishing house Burda.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:321063 |
| Date | January 2013 |
| Creators | Rajčan, Šimon |
| Contributors | Pokorný, Jaroslav, Mrázová, Iveta |
| Source Sets | Czech ETDs |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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