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AN INCREMENTAL UPDATING ALGORITHM FOR MINING ASSOCIATION RULES
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作者 xu baowen yi tong wu fangjun chen zhenqiang(department of computer science & engineering, southeast university, nanjing 210096) (national key laboratory of software engineering, wuhan university, wuhan 430072) 《Journal of Electronics(China)》 2002年第4期403-407,共5页
In this letter, on the basis of Frequent Pattern(FP) tree, the support function to update FP-tree is introduced, then an Incremental FP (IFP) algorithm for mining association rules is proposed. IFP algorithm considers... In this letter, on the basis of Frequent Pattern(FP) tree, the support function to update FP-tree is introduced, then an Incremental FP (IFP) algorithm for mining association rules is proposed. IFP algorithm considers not only adding new data into the database but also reducing old data from the database. Furthermore, it can predigest five cases to three cases.The algorithm proposed in this letter can avoid generating lots of candidate items, and it is high efficient. 展开更多
关键词 数据采集 结合规则 支撑功能 图形树
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