Knowledge extraction from large data sets

Knowledge is a collection of information and deduction rules of the world, properties of objects, patterns of processes and events, and also rules of using them to make decisions. The main difference between knowledge and data is their structure and activity. Appearance of new facts in the database, or determination of new connections can be a source of changes in decision-making. During their work many research departments and commercial companies accumulate a large array of facts, figures and measurements. Experts can't analyze all this information. The considered approach allows analysis of current situation, establishes the relationship between indicators and creates rules of influence for each other. Method was created for extracting knowledge from large data sets. A method is a procedure, which can solve the problem of the transition from data to knowledge. Developed method is designed to improve the effectiveness of project management R & D in aerospace applications.