期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：7
页码：13196-13200
出版社：IJECS
摘要：As a result of the tremendous growth of the World Wide Web, the raw web data has become a vast source ofinformation. Nowadays, the usages of search engines are considerably high by all types of users. The information required bydifferent group of users are collected and represented by different types of search engines from many other sources. Web robot isone of the strategies which is used by many search engines as well as many other websites for collecting their data from therespective websites. These web robots are useful for many application, these are also dangerous for websites due to extracting theinformation of a particular site in an unauthorized way.In this paper, We are suggesting the association rule mining algorithm named as "Optimized Distributed Association Mining"Algorithm for identifying the web robots which trying to traverse through website's confidential page or content and want toextract that content and after identifying ODAM will remove that web robot program. In such a way ODAM will help to preventthe websites from unauthorized access and other malicious programs
关键词：Web crawler; Association rule mining; web;logs; Frequent logs.
