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Basket analysis of the studio
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Application background Market Basket Analysis is a specific application of Association rule mining, where retail transaction baskets are analysed to find the products which are likely to be purchased together. The analysis output forms the input for recomendation engines/marketing strategies. Association rule mining cannot be done using Base SAS/ Enterprise Guide and hence R seems to be the best option in my opinion. Key Technology The technique of
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Association rule example (Studio)
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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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