A Study of Enhancing Security of Information Using Multimodal Biometric

Web mining is the methodology used to find valuable knowledge on the World Wide Web from the rich data. Since website mining and data mining have been expanding rapidly in recent years, the imminent need to turn this data in useful information and expertise has attracted a lot of attention. Many applications, such as market research and business management, will benefit from the use of broad data knowledge and know-how. Knowledge discovery can be seen as the mechanism by which information from vast repositories, which is indirectly introduced in the data, is previously unknown and could be useful to users. The method of information discovery in databases is thus a critical step in data mining. Over the past decade, several methods of data mining have been introduced to accomplish specific tasks of knowledge exploration in order to gain valuable information for users. Data mining techniques include mining by association rules, regular mining of objects, sequential mining pattern, maximal mining pattern and closing patterns. Yet how to use the discovered patterns efficiently remains an open question for science, in particular in web mining. We compare these details in this report.