序列模式挖掘算法的研究  

Research on sequential pattern mining algorithms

作　　者：王晓雪[1] 

机构地区：[1]吉林师范大学计算机学院,吉林四平136000

出　　处：《智能计算机与应用》2016年第6期132-133,138,共3页Intelligent Computer and Applications

摘　　要：序列模式挖掘是数据挖掘领域中的重要技术之一,应用非常广泛。利用序列模式挖掘算法能够发现具有一定商业价值的模式规律,因此近年很多学者也对序列模式挖掘算法提出了改进。本文首先介绍了序列模式挖掘算法的相关背景及应用,然后对于各个算法进行介绍和对比,最后,对序列模式挖掘的未来发展进行了展望。Sequential pattern mining is one important technology of data mining,which is always used widely. Sequential pattern mining algorithms can be implemented to discover valuable patterns in the business field. Therefore in recent years many scholars have been devoted to improvement of sequential pattern mining algorithms. The paper firstly introduces the background and application of sequential pattern mining algorithms,then the instruction and comparisons between different algorithms,finally discusses the future of sequential pattern mining.

关 键 词：序列模式挖掘 APRIORI PREFIXSPAN SPADE MEMISP SPIRIT 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]