基于数据挖掘的校园网网络日志的探讨

摘要

With the rapid development of database technology, the management system has been widely used in the production and life of people, all cannot do without the network technology, the data is also increasing. The database system can used for data entry, query and other functions, but it is difficult to forecast the future trend of the data. The campus network can log the various events in campus network records will extract important information, timely detection of abnormal behavior, to improve the network structure. This paper will analyze the design of mining technology based on the campus network and the application of data mining system log.%随着数据库技术的快速发展,管理系统得到广泛应用,人们生产生活中都离不开网络技术,所积累的数据也不断增加.以往的数据库系统能够对数据内容进行录入、查询等功能,但是难以实现对数据未来趋势的预测.校园网络日志能够通过对校园网络中各种事件的记录,将重要的信息提炼出来,及时发现异常行为,对网络结构进行改善.本文将对数据挖掘技术基础上的校园网日志应用以及挖掘系统的设计进行分析.