摘要
关联规则挖掘是数据挖掘中的一项重要技术,Apriori算法是关联规则挖掘中的一种经典算法。在信息技术的发展过程中,随着海量数据的收集和存储,从数据库中挖掘出相关联规则的数据集变得极为重要。为此,对国内外有关Apriori算法的研究现状、算法的原理、优化算法的思想进行了探讨,同时分析了几种经典的优化算法,最后对Apriori算法未来的发展趋势进行了预测和展望。
The associative rule mining technique is an important technique in data mining research. Apriori algorithm is a classical algorithm of associative rules. How to dig out the rules of the associated data set from the database in the IT development process is important with increasing of massive data collection and storage. In this paper the principles and optimization idea of Apriori algorithm are discussed and several classical optimization algorithms are analyzed at the same time. Finally the trends of future development are forecasted.
出处
《计算机时代》
2012年第9期11-13,共3页
Computer Era
关键词
关联规则
海量数据
算法优化
发展趋势
associative rules
massive data
optimization
developmental trends