Calculating a New Data Mining Algorithm for Market Basket Analysis
نویسندگان
چکیده
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationallyintensive subproblem of data mining involves nding frequent sets in order to help mine association rules for market basket analysis. Given a bag of sets and a probability, the frequent set problem is to determine which subsets occur in the bag with some minimum probability. This paper provides a convincing application of program calculation in the derivation of a completely new and fast algorithm for this practical problem. Beginning with a simple but ine cient speci cation expressed in a functional language, the new algorithm is calculated in a systematic manner from the speci cation by applying a sequence of known calculation techniques.
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