Quantitative and data mining approach has been created to enhance the emphasis of the clinical signal detection procedure. The process employed, is known as the BCPNN (Bayesian Confidence Propagation Neural Network). This not just aids in the early detection of adverse drug
Association rules are one of the most popular methods of data mining. This technique allows to discover interesting dependences between objects. The thesis concerns on association rules for hierarchy of objects. As a multi–level structure is used DBLP database, which contains bibliographic
This paper is focusing on the data mining solutions for the WWW, specifically how it can be used for the hyperlinks evaluation. We are focusing on the hyperlinks used in the websites systems and on the problem which consider evaluation of its
Data mining is the process of finding and extracting valuable knowledge or in-formation from a given and often large set of data. In many fields of science, engineering, and economics large amounts of data are stored and there is a need to
In recent years, an element of CRM; eCRM has become a topic of major importance. However, the wireless medium as an element of CRM is rarely taken into consideration and the literature concerning mCRM is scarce. In an attempt to fill this
Data visualization can be used to detect hidden structures and patterns in data sets that are found in data mining applications. However, although efficient data visualization algorithms to handle data sets with asymmetric proximities have been proposed, we develop an improved algorithm