Cherenkov I. Information technology development of pricing strategy on the basis of the flow of Internet news

Research object: forming of the pricing strategy of the enterprise. Research aim: to increase the accuracy of price forecasting by automatic analysis of the external factors effect on the price behavior by analyzing online news stream. Research methods: theory of systems analysis, classification and clustering, technologies of data mining, methods of mathematical statistics; machine learning methods. Theoretical and practical results: the development of a web based service-oriented information technology for text minig from online news stream and automatic analysis of the external factors effect on the behavior of price. Novelty: improved data mining techniques, improved methods of hierarchical clustering, improved price forecasting method based on association rules, improved information technology of the pricing strategy. Degree of implementation: Ltd "Energeticheskie tehnologie" and Ltd "Energetehinvest" (Kharkiv). Scope of application: commodity markets with elastic demand.