I am new to this area as well as the terminology so please feel free to suggest if I go wrong somewhere. I have two datasets like this: Dataset 1: A B C 0 E A 0 C 0 0 A 0 C D E A 0 C 0 E The way I interpret this is at some point in time, (A,B,C,E) occurred together and so did (A,C), (A,C,D,E) etc. Dataset 2: 5A 1B 5C 0 2E 4A 0 5C 0 0 2A 0 1C 4D 4E 3A 0 4C 0 3E The way I interpret this is at some point in time, 5 occurrences of A, 1 occurrence of B, 5 occurrences of C and 2 occurrences of E happened and so on. I am trying to find what items occur together and if possible, also find out the cause and effect for this. For this, I am not understanding how to go about using both the datasets (or if one is enough). It would be good to have a good tutorial on this but my primary question is which dataset to utilize and how to proceed in (i) building a frequent itemset and (ii) building association rules between them. Can someone point me to a practical tutorials/examples (preferably in Python) or at least explain in brief words on how to approach this problem? Continue reading...
