Research on Algorithms of Association Rules Data Mining Based on Reduction Scale
基于规模压缩的关联规则数据挖掘算法研究

Data mining based on association rules is one of the most active and new research in the field of artificial in- telligence and database.Association rules are an important aspect of research of data mining.The new algorithms pro- duces a more small amount of candidate patterns when it looks for the frequent patterns of the data base,using theory that the Parent pattern of the non-frequent pattern is non-freqent pattern.So it can reduce the scale of the candidate- frequent patterns greatly.It can be easily implemented,and can improve the efficiency greatly by deleting those useless records.