计算机技术与发展2011，Vol.21Issue(10)：81-84,4.
基于时间间隔和点击量的Prefixspan改进算法
An Improved Prefixspan Algorithm Based on Time Interval and Click Quantity
摘要
Abstract
The real-time character of customer behavior is one of the main factors for analyzing customer's internet consumption behavior. But it was ignored in the data mining algorithm of Prefixspan, so based on the concept of time interval sequence pattern, an improved algorithm integrated with time interval and click quantity was presented. In this algorithm, the concept of the frequent degree and time attribute was imported and the factors of time interval and click quantity was added, which made the mined dates had the real-time character, and improved the emphasis on sex of the mining object. The experiment shown that compared with the original algorithm, the improved algorithm was more precise, when used to mine the data set with real-time character,at the same time the mining efficiency has been improved effectively.关键词
时间间隔/点击率/序列模式/数据挖掘Key words
time interval/click quantity/sequence patterns/data mining分类
信息技术与安全科学引用本文复制引用
王娜娜,陈立潮,潘理虎,张英俊..基于时间间隔和点击量的Prefixspan改进算法[J].计算机技术与发展,2011,21(10):81-84,4.基金项目
山西省自然科学基金资助项目(2009011022-1) （2009011022-1）
