The discipline "Extraction of Knowledge from Data" is one of parts of "Support of decision-making in business " module consisting of disciplines - Theory of decision-making, Extraction of knowledge from data and  Risk management.

 The results of the study discipline:

1.  The ability to apply knowledge in professional work methods for the analysis of materials and making strategic decisions on the issue of knowledge management.

2. The ability to demonstrate and to apply the methods of knowledge extraction.

3. The ability to adapt  the specific conditions of tasks and to analyze the current problems associated with the extraction of knowledge.

4. The ability to use professional tools in solving management problems.

5. The ability to develop their own model of knowledge management based on ontological knowledge base.

Knowledge extraction is the creation of knowledge from structured and unstructured   sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates differencing. Although it is methodically similar to information extraction, the main criteria is that the extraction result goes beyond the creation of structured information or the transformation into a relational schema. It requires either the reuse of existing formal knowledge  or the generation of a schema based on the source data.

Directions and training programs:

-  Business Informatics (program "International electronic business";

-  Applied Informatics (program “It innovations in the business”, “Applied Informatics in analytical and computational economy”).

 Forms of education:

-  full-time, part-time, correspondence.

Technologies and techniques of training:

1. Traditional and distance learning technologies.

2. Mixed technology for students of full-time study.

3. Independent study of the course and individual modules.

4. Organization of the simultaneous learning of multiple disciplines in computer class.

5. The organization of regular interaction with students in the learning process through e-learning system "HyperMethod" and using synchronous and asynchronous mode of communication with the student. Gradual and successive formation of educational activities with elements of problem and project-based learning is supposed.

1.  The ability to apply knowledge in professional work methods for the analysis of materials and making strategic decisions on the issue of knowledge management.

2. The ability to demonstrate and to apply the methods of knowledge extraction.

3. The ability to adapt the specific conditions of tasks and to analyze the current problems associated with the extraction of knowledge.

4. The ability to use professional tools in solving management problems.

5. The ability to develop their own model of knowledge management based on ontological knowledge base.