The Research of FP-growth method based on Apriori algorithm in MDSS

摘要：

The paper mainly discussed The Application of the Model_FP based on Apriori algorithm in MDSS. FPGrowth algorithm based on frequent pattern growth (frequent-pattern growth referred to as FP-growth) model -model Model_FP, it has taken the following sub-rule strategy: frequent item sets will be provided to a frequent pattern database compression tree (or FP-tree), but remains set of related information items, then, will take this compressed database into a set of the database (a special type of projection database), each associated with a frequent item, and were excavated each database. FPgrowth method will change find long frequent patterns to find the problem into a number of short-recursive mode, then connect the suffix. It uses the least frequent items as suffix, to provide a good selectivity, and the method reduces the search overhead.

关键词： Apriori algorithm Model_FP model FP-grotvth method Supporting System of Medical Decision

作者: Li Min Wang Chunyan Yan Yuguang

作者单位: College of Computer, Changchun Normal Univercity, Changchun, Jilin, 130032, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 770-773

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）