DECISION SUPPORT SYSTEM TO SUPPORT THE SOLVING OF CLASSIFICATION PROBLEMS IN TELECOMMUNICATIONS

Traditional techniques of data analysis do not enable the solution of all kind of problems and for that reason they have become insufficient. This caused a new interdisciplinary field of data mining to arise, encompassing both classical statistical, and modern machine learning techniques to support the data analysis and knowledge discovery from data. Data mining methods are powerful in dealing with large quantities of data, but on the other hand they are difficult to master by business users to facilitate decision support. In this paper we introduce our approach to integration of decision support system with data mining method called classification. We discuss the role of data mining to facilitate decision support, the use of classification method in decision support system, discuss applied approaches and introduce a data mining decision support system called DMDSS (Data Mining Decision Support System). We also present some obtained results and plans for future development.