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Description: R.Agrawal and R.Srikant Apriori algorithm is put forward in 1994 as a Boolean association rules mining frequent itemsets original nature of algorithms. As we will see, the algorithm is based on the fact the name: the nature of frequent itemsets algorithm uses a priori nature. Apriori layer by layer using a technique called iterative search method, k itemsets used to explore (k+1) itemsets. First, by scanning the database, the cumulative count of each item and collect items to meet the minimum support to find frequent a set of collections. The collection recorded as L1. Then L1 is used to find the set of frequent two sets L2, L2 is used to find L3, it goes on, you know can not find frequent itemsets k itemset. Find each Lk requires one full scan database.
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Apriori .doc
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