期刊名称：Annals of the University of Craiova: Economic Sciences Series
印刷版ISSN：1223-365X
电子版ISSN：1843-3723
出版年度：2011
卷号：3
页码：186-193
语种：English
出版社：Universitaria Craiova
摘要：Due to the continuous growth and spread of the internet using Web Mining to improve the quality of different services has become a necessity.Web Mining is nothing else than applying data mining techniques and algorithms on web data.In this work we present two algorithms used in Web Structure Mining namely Page Rank and HITS.Both algorithms draw their origin from social networks analysis and they are modeled based on the Theory of Markov Chains.Page Rank is used by the search engine GOOGLE and HITS by the search engine CLEVER.We present their strengths,weakness and other areas of applicability.
