（1） L1 = find_frequent_1-itemsets(D) （2） for (k=2 Lk-1 ≠Φ k++) { 　　（3） Ck = apriori_gen(Lk-1 ,min_sup) 　　（4） for each transaction t ∈ D {//scan D for counts 　　（5） Ct = subset(Ck,t) //get the subsets of t that are candidates 　　（6） for each candidate c ∈ Ct 　　（7） c.count++ 　　（8） } 　　（9） Lk ={c ∈ Ck|c.count≥min_sup} 　　（10） } 　　（11） return L= ∪ k Lk

用C#实现Apriori算法\ItemSet.cs
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...................\用C#实现Apriori算法(文档).doc
用C#实现Apriori算法

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