Web data analysis using negative association rule mining

Abstract

Today era is combination of information and communication technology (ICT), everyone wants to share and store their information through the internet, so there is huge amount of data is searched every day, there is lots of web data is collected in every seconds and with the help of web usage mining, we can discover useful pattern from the web databases. For analyzing this huge amount of web data, we required one of the useful concepts is web site managements. In which we discover the useful pattern, discover or analyzing the useful information from the web database. Here we used the concept of negative association rule mining for analyzing the web log files, for finding the strong association between the web data’s.