Abstract:
Some significant features of mathematical methods of data analysis and decision support in diagnostic-type problems are discussed. The most significant characteristic features are considered allowing to distinguish the tasks of the discussed type into a special class. This class requires the simultaneous development of solutions to a number of interrelated problems which, without taking into account such relationships, are practically useless. Using the experience with diagnostic-type tasks, recommendations are made on the areas of development of effective approaches and methods of data mining for solving such applications.
Keywords:artificial intelligence, intelligent data analysis, mathematical methods, diagnostics.