A Literature Survey on Web Content Mining

Abstract

Web is an accumulation of inter related documents on one or more web servers while web mining implies extricating important data from web databases. Web mining is one of the data mining spaces where data mining methods are utilized for extricating data from the web servers. The web information incorporates site pages, web links, questions on the web and web logs. Web mining is utilized to comprehend the client behavior, assess a specific site in view of the data which is stored in web log documents. Web mining is assessed by utilizing data mining strategies, specifically Association Rules, Classification and Clustering. It has some helpful regions or applications, for example, Electronic trade, E-learning, E-government, E-arrangements, E-majority rules system, Electronic business, security, crime examination and computerized library. Recovering the required web page from the web productively and adequately becomes a challenging task since web is comprised of unstructured information, which conveys the substantial measure of data and increment the unpredictability of managing data from various web service providers. The accumulation of data turns out to be elusive, extract, channel or assess the significant data for the clients. In this paper, we have considered the essential ideas of web mining, classification, procedures and issues. Notwithstanding this, this paper likewise broke down the web mining research challenges.