APPLYING DATA MINING METHODS IN ANALYSIS OF STRUCTURAL RELATIONSHIPS IN THE SYSTEM OF RANDOM PROCESSES

Horalová Kalinová Michaela () and Michaľčonok German ()
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Horalová Kalinová Michaela: Department of Information Technology and Automation, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Paulínska 16, 917 01 Trnava, Slovak Republic
Michaľčonok German: Department of Information Technology and Automation, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Paulínska 16, 917 01 Trnava, Slovak Republic

Research Papers Faculty of Materials Science and Technology Slovak University of Technology, 2013, vol. 21, issue 33, 38-42

Abstract: The aim of this paper is to present the possibilities of applying data mining techniques to the problem of the structural relationships analysis in the system of stationary random processes. In this paper, we will define the basic problem areas of analysis of structural relationships and we will show how to solve these problems by the methods of data mining. Individual solutions to selected problem areas will be demonstrated on a model which was designed in MATLAB. In the experiment, we will identify the existence and the nature of the process relationships in the system of stationary random processes based on the results of analyses.

Keywords: random processes; analytical methods; data mining; complex systems (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:repfms:v:21:y:2013:i:33:p:38-42:n:6

DOI: 10.2478/rput-2013-0038

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