期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：6
期号：1
出版社：Seventh Sense Research Group
摘要：The Searching and Extraction of valid and useful information from previously known websites as well as previously unknown multiple heterogeneous sites in internet environment for the purpose of handling large volumes of web information without switching and searching multiple sites which totally reduces the searching time and online deals in effective way. The web information extraction and comparison can be described with help of supervised learning approach such as Bayesian Classification, Expected Maximization algorithm and IFTHEN rules of Rule induction method. The importance of Internet Intelligent Agent system is help the users to conclude and analyze the web information that afforded by the same type of websites in internet and shorten the time of secured online deals.
关键词：Previously known sites;Previously unknown sitet; semantic pattern;multiple heterogenous data base;extracted information; Observable data; Unobservable data
