文章基本信息

标题：PERFORMANCE EVALUATION OF CLUSTERING IN WEB-LOG ANALYSIS BASED ON AGENT
本地全文：下载
作者：Himani ; Gaurav Arora ; Sunita Sangwan 等
期刊名称：International Journal of Computer Science and Management Studies
电子版ISSN：2231-5268
出版年度：2012
卷号：2
期号：Special Issue
出版社：Imperial Foundation
摘要：Web mining is the use of data mining Technique to automatically discover & extract information from web documents. When user searches for goods the management agent receives order from graphical user interface .Management agent receives information, update agent information store house and feedback the mining result to user. Intelligent agent can help making computer system easier to use, enable finding & filtering information. The mining agent is the analytical center of whole agent system.It mainly adopts two kind of analytical method: related rule mining and cluster analysis. Cluster of objects are formed so that objects with in a cluster have high similarity. The aim of this paper is to analyze the web log data .To achieve this clustering tool is used. It performs in two phases. First it captures the web-log data. Then it analyzes the data& discovers the hidden pattern. Agent requires an agent communication language to describe & process agent request. The future internet will use PERL to encode information with meaningful structure & semantics.
关键词：Web mining; Clustering; Diagnostic and Verification tools