一种发现有价值的稀有数据关联规则的算法

AN ALGORITHM OF MINING ASSOCIATION RULES ON SIGNIFICANT RARE DATA BASED ON UNDIRECTED ITEMSETS GRAPH

关联规则是数据挖掘研究领域的重要内容之一.在无向项集图的基础上,结合RSAA算法,提出了一种新的挖掘关联规则的算法,用以发现数据库中有价值的稀有数据.通过将该算法与RSAA算法的分析比较,证明了其在获得频繁项集的效率上具有更好的性能.

Data mining has been one of the most important topics in database research. Associating the undirected itemsets graph and RSAA algorithm, we propose a new algorithm of discovering the association rules for significant rare data in the database. Furthermore, we evaluate the performance of the proposed algorithm by comparing with RSAA algorithm.