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The paper describes the development of a complex method of decision making support for the objectives of the Russian Federation innovative development with regard to the specific conditions of mining regions of the country. The extremely large amount of unstructured and poorly structured information in the field of mining industry makes it very difficult formanagers and industry experts make effective decisions in the aspects of safety, accidents, efficiencyand innovative management. The new methodology makes provisions for wider range of information and equipment measures fordecision making supportfor innovative development of mining regions of Russia. The theoretical basis of this study is Data Mining paradigm, which is based on the concept of samples (patterns) reflecting fragments of the multifaceted relations of the incoming data. A special case of the Data Mining is the Text Miningtechnology, which is implemented in decision support systems (DSS). When applied to a wide range of generated branch information, this technology allows creating knowledge bases in the field of mining production management, which increase the efficiency of managers’ decision making in the public and commercial branches of industry.

The Necessity and Ways to Develop the methodology of Management Decision Making Support for Innovative Development of Mining Regions in Russia