Published Paper Details:

Web becomes an important part of organization. The huge usage data as a result of interaction of users and Web can be extracted to be knowledge applied in various application. Analysis of web site regularities and patterns in user navigation is getting more attention from business and research community a web browsing becomes an everyday task for more people around the world. This extremely large-scaled data called Big data are in terms of quantity, complexity, semantics, distribution, and processing costs in computer science, cognitive informatics, web-based computing, cloud computing, and computational intelligence. The size of the collected data about the Web and mobile device users is even greater. To provide the ability to make sense and maximize utilization of such vast amounts of web data for knowledge discovery and decision-making is crucial to scientific advancement; we need new tools for such a big web data mining. Visualization is a tool, which is shown to be effective for gleaning insight in big data. Apache Hadoop and other technologies are emerging to support back-end concerns such as storage and processing, visualization-based data discovery tools focus on the front end of big data on helping businesses explore the data more easily and understand it more fully.