November 2017
Beginner to intermediate
366 pages
7h 59m
English
In the previous section, we saw that weighted association rule mining leads to recommendations that can increase the profitability of the retailer. Intuitively, weighted association rule mining is superior to vanilla association rule mining as the generated rules are sensitive to transactions, weights. Instead of running the plain version of the algorithm, can we run the weighted association algorithm? We were lucky enough to get transaction weights. What if the retailer did not provide us with the transaction weights? Can we infer weights from transactions? When our transaction data does not come with preassigned weights, we need some way to assign importance to those transactions. For instance, we can ...
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