Association rule example (Studio)
2016-08-23
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There are many ways to see the similarity between projects. These are technologies under general umbrella. The result of this technology, simply put, is a set of rules that can be understood as "if this, then"; imagine 10000 receipts you're sitting on a table. Each receipt represents a transaction, a purchase. Receipt is a kind of representative things, into the customer's basket, so "market basket analysis". This is what the grocery dataset contains: a collection of receipts, one receipt per line, and items purchased. Each line is called "transaction", and each line represents a project; key technical support: our project set takes place in the fraction of our data set. Trust: a rule is right for a new deal with the probability of the item on the left. Elevator: the confidence of a rule exceeds the expected confidence;
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