Authors : H.K. Yogish and G.T. Raju
Abstract: Web is a huge, explosive, diverse, dynamic and mostly unstructured data repository which supplies incredible amount of data and also raises the complexity of how to deal with the data because most of this data are not too much interest to most of the users, web service providers and business analysts. Web data is categorized into web content data, web usage data and web structure data. Based on the type of web data used in mining, web mining has three categories-web content mining, web usage mining and web structure mining. Usage data is related to web activity. This study presents a methodology which preprocesses the web data, extract and cluster using ART1 NN technique and preloads web pages which are likely to be accessed in near future.
H.K. Yogish and G.T. Raju, 2013. Prefetching of Web Pages Based on Clustering Patterns for Enhancing the Performance of Web Retrieval Process. International Journal of Soft Computing, 8: 435-439.