World Wide Web is a monolithic repository of web pages that provides the Internet users with heaps of information. With the growth in number and complexity of Websites, the size of web has become massively large. Web Usage Mining is a division of web mining that involves application of mining techniques to web server logs in order to extract the behavior of users. A Web Usage Mining process com...

Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. It mines the secondary data (web logs) derived from the users' interaction with the web pages during certain period of Web sessions. Web usage mining consists of three phases, namely preprocessing, pattern discovery, and pattern analysis. In this paper, w...

Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. In this paper, we define the notion of a “user session” as being a temporally compact sequence of web accesses by a user. We also define a new distance measure between two web sessions that captures the organization of a web site. Web usage mining consist...

With the Internet usage gaining popularity and the steady growth of users, the World Wide Web has become a huge repository of data and serves as an important platform for the dissemination of information. The users’ accesses to Web sites are stored in Web server logs. However, the data stored in the log files do not present an accurate picture of the users’ accesses to the Web site. Hence, prep...

This paper attempts to signify the importance of newest variation of data mining in form of web mining. The paper also discusses about some of the existing web log analysis algorithms. The previous some web mining algorithm working with different concepts gives effective result for the web mining. Presently the user want to execs the web pages or other web related applications very fast and ver...

With Web technology, data on internet has become increasingly large and complex. No matter users or internet users needs all this data. Also the data which is available on web not all the time useful information or it is knowledgeable. Hence web data mining is necessary to fulfill this demand. Web data mining can extract unstructured, undiscovered data which is possibly useful information and k...

Web Mining is a challenging task that searches for Web access patterns, Web structures and the regularity and dynamics of the Web contents. It provides efficient Web Personalization, System Improvement, Site Modification, Business Intelligence and Usage Characterization. High-dimensional Web Log File clustering is a challenging task and requires an efficient clustering technique. The efficiency...

Mining frequent patterns fromWeb logs is an important data mining task. Candidate-generation-and-test and pattern-growth are two representative frequent pattern mining approaches. We have conducted extensive experiments on real world Web log data to analyse the characteristics of Web logs and the behaviours of these two approaches on Web logs. To improve the performance of current algorithms on...