Hello,
I read the article "Utilizing Association Rules for
Improving the Performance of
Collaborative Filtering ", I did not understand the phase of its alogorithm: A = {a1, a2 ...} and B = {b1, b2 ...}, how can we generate association rules from these two sets, Knowing that I understood the rules of association and I know for example the algorithm Apriori but there I can not understand.
The answer is there, i.e., "This rule means that when items of Ai are appeared in a transaction, probably items of Bj will be appeared in the same transaction". Anyway, you need to focus on aspects like"confidence", "support", etc.
HTH.
Samer
Apriori Algorithm is made fun here:
http://nikhilvithlani.blogspot.com.ng/2012/03/apriori-algorithm-for-data-mining-made.html
You'll applied a unsupervised classifier like k-means to find a pattern.
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