For the latter representation of the Apriori Algorithm, we would take arbitrary dataset from transactions made in a local pharmacy. This study intentionally targets the purchasing trend that may conspire whenever customers walk in to buy supplies pertaining to sport injuries or some other form of blunt force trauma. For our entire data set we have taken ‘min_sup = 2’; i.e. minimum support with a frequency of two as this will help us in determining the associative properties of the subsequent data table.
Transaction ID | List of Items |
1 | Paracetamol, Ibuprofen, Indomethacin |
2 | Ibuprofen, Diclofenac |
3 | Ibuprofen, Naproxen |
4 | Paracetamol, Ibuprofen, Diclofenac |
5 | Paracetamol, Naproxen |
6 | Ibuprofen, Naproxen |
7 | Paracetamol, Naproxen |
8 | Paracetamol, Ibuprofen, Naproxen, Indomethacin |
9 | Paracetamol, Ibuprofen, Naproxen |
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