No abstract

Information on internet increases rapidly from day to day and the usage of the web also increases, thus there is the need to discover interesting patterns from web. The process used to extract and mine useful information from web documents by using Data Mining Techniques is called Web Mining. Web Mining is broadly classified in to three types namely Web Content Mining, Web Structure Mining and Web Usage Mining. In this paper our focus is mainly on Web Usage Mining, where we are applying the data mining techniques to analyse and discover interesting knowledge from the Web Usage data. The activities of the user are captured and stored at different levels such as server level, proxy level and user level called as Web Usage Data and the usage data stored at server side is Web Server Log, where it records the browsing behavior of users and their requests based on the user clicks. Web server Log is a primary source to perform Web Usage Mining. This paper also brings in to discussion of various existing pre-processing techniques and analysis of web log files and how clustering is applied to group the users based on the browsing behavior of users on their interested contents.

Nowadays users are purchasing products and payments through online. While using these websites they will ask for the information of the users like username and password etc. There are some websites which are used to hack the details of the user. This type of websites is called phishing websites. For detecting these websites, they are proving an effective, intelligent data mining algorithm is used. In this paper, they are surveying the detection of phishing websites by using pattern mining technique.

Working spot of a person that oversees information investigation and information handling can affect one individual or an entire group. The instruments that can mama e their work simpler, diminish the work hours and at last decrease the quantity of individuals required in the group are dashboards of web applications. With the assistance of dashboards one can oversee, break down and outwardly screen their key measurements identified with their business or to a person. There is no all-inclusive dashboard to suit each type of business. Similarly, there is no widespread interface that can be proclaimed as the lone appropriate answer for all organizations, in this manner various dashboards are being created in various interfaces. People or groups are the clients of dashboards. There are various dashboard layouts for site interfaces that can assist engineers with making their own dashboards for open information all the more effectively and rapidly. The point of the paper is to break down and assess different dashboard layouts as indicated by the characterized measures to exhibit which format is the most proper for a specific area and field of work. It is normal that the outcomes will assist engineers with the decision of a dashboard layout for their new ventures. This paper gives essential rules with respect to responsive website composition and a portion of the systems that can be utilized to assemble a responsive website composition page. It likewise momentarily portrays the CSS Grid. Besides, it'll dissect the graduated alumni dashboard format made inside four unique frameworks and CSS Grid. They were investigated with five given rules the 5 second standard, the reversed pyramid, information perception, toning it down would be ideal and intuitive components. The outcomes would underscore the formats made inside bootstrap and Semantic I since they were not assessed by any basis with a score under 4 out of 5.