| Abstract [eng] |
Systems of data mining are defined as knowledge, which using various statistic, mathematical, models for patterns recognition methods, is generalized and properly processed. Applying technologies of data mining it is being searched for new subordinations, meaningful consistent patterns between an organization’s data, tendencies among business processes, reflective model-based data, new and unfamiliar information about business processes. Analysis of data mining systems is relevant not only for organizations. In order to adjust to alterations of market, it is important to provide information to students on time and properly, during sessions students should get acquainted with current information, studies programs should be approach towards alterations of market. The main aim of the work is to explore and compare systems of data mining with reference to received results, to make methodology of data mining and to project laboratory works which could help to reveal the importance of data mining in a process of learning and in a modern enterprise. These goals have been set in order to achieve the aim of master’s work: • Survey of accomplished research, analysis of literature; • Analysis of data mining technologies and algorithms; • Analysis of software; • Projection of process model of data mining; • Projection of laboratory works. Technologies of data mining, working principles of algorithms, possibilities of software equipments, creating models of data mining, are demonstrated in prepared laboratory works. Models of data mining is created using means of MS SQL server 2005 programmable packet Analysis Services, applying representative Microsoft AdventureWorks DW data base. |
