Web-Log Trend Pattern Analysis with Temporal Approach

Web mining uses data mining's techniques and its algorithms to explore the interesting patterns from the web access log on server data to withdraw out better knowledge of user attractions or users activity over the website. This paper gives the idea that how an industry conclude or examine their user's behavior on their websites, which is one of the important topics in today's time using the time stamp of the IP address. This paper deals with the temporal approach of weblog mining on NASA's website based on temporal trend analysis by analyzing the extracted interesting patterns. A weblog of NASA has been analyzed using R-Studio to extract the trend pattern based on the time of stay of users, which creates a particular pattern. There are many methods for data mining extractions, but this technique of trend analysis can provide more useful information for web mining.