Mining a large shopping database to predict where, when, and what consumers will buy next
Retailers with electronic point-of-sale systems continuously amass detailed data about the items each consumer buys (i.e. what item, how often, its package size, how many were bought, whether the item was on special, etc.). Where the retailer can also associate purchases with a particular individual...
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| Format: | Dissertation |
| Language: | English |
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Faculty of Science
2020
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| Online Access: | http://hdl.handle.net/11427/32224 |