计算机技术与发展Issue(4)：43-47,5.DOI:10.3969/j.issn.1673-629X.2015.04.011
基于Apriori改进算法的企业Web日志挖掘研究
Research on Enterprise Web Log Mining Based on Improved Apriori Algorithm
摘要
Abstract
A large number of valuable information is hidden in the enterprise Web log,the disadvantage of Apriori algorithm is to produce a large number of candidate set and frequent scan data set. In this paper,study based on Web log information from collaborative Web por-tal. The enterprises collaborative Web portal can release the relevant notice of enterprise information at the announcements column at any time,which is what the enterprise want visitors to see at the first time. The Website news is to show visitors for enterprise related news, information and enterprise management activities,it’ s also to complete the enterprise brand and enterprise culture propaganda,etc. Based on the general character of collaborative Web portal,present an improved Apriori algorithm for enterprises,the enterprises show visitors announcements or business news and information actively,dig out the status of the other main column in visitors,and the degree of these columns’ attention and interest in visitors. In this way,the enterprises can adjust the other column layout,do better service for enterprise propaganda,and meet the visitors’ convenient access, etc. The core of the improved algorithm is to reduce the candidate set. In the process of scanning of Apriori algorithm,an ID is not to participate in,when the algorithm mining the maximum frequent sets and then adding the ID to the maximum frequent item sets concentration of each item,to carry out the association rules mining. There is a larger degree of optimization in the number of data sets of scanning and candidate set generation. After the contrast experiments,it shows that the improved Apriori algorithm is effective and has the strong practical application value for enterprises.关键词
Web应用/日志/关联规则/算法改进/Apriori算法Key words
Web applications/log/association rules/improved algorithm/Apriori algorithm分类
信息技术与安全科学引用本文复制引用
吴红星,王浩..基于Apriori改进算法的企业Web日志挖掘研究[J].计算机技术与发展,2015,(4):43-47,5.基金项目
国家“973”重点基础研究发展计划项目(2013CB329604) （2013CB329604）
国家“863”高技术发展计划项目(2012AA011005) （2012AA011005）
