规范化序列模式在读者借阅行为模式挖掘的应用研究  

Study on standardized sequential patterns applied in reader's borrowing behavior patterns mining

作　　者：邓广彪[1] 

机构地区：[1]广西民族师范学院数学与计算机科学系,广西崇左532200

出　　处：《计算机时代》2014年第4期34-36,共3页Computer Era

基　　金：广西民族师范学院2011年度资助项目(XYYB2011019)

摘　　要：高校图书管理系统经过多年运行产生了大量借阅数据,为从借阅数据中发现读者借阅图书的行为模式和借阅规律,提出使用PrefixSpan算法对借阅数据进行序列模式挖掘。为平衡序列模式中支持度和长度各自的重要性,将挖掘结果进行规范化处理,得到带有权值的序列模式。通过对带有权值序列模式进行分析,可得到读者借阅图书的前后衔接关系和借阅规律,根据这些借阅规律可对读者进行借阅指导。The operation of the college library management system has generated a large amount of borrowing data for so many years. In order to find out the behavior pattern and borrowing rules of readers, the PrefixSpan algorithm is proposed to lead data sequence pattern mining. To keep balance of importance between the support degree and the length in sequence mode, the mining results will be normalized and the sequence patterns will be given with weights. Based on the weighted sequential pattern analysis, the linking relation and the borrowing rules can be obtained, and readers may borrow based on these rules.

关 键 词：序列模式 PREFIXSPAN算法 规范化 借阅规律 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]