Application of the Method of Data Mining to Solve the Problem of Establishing Causal Relationships
Tatyana Azhder. Assistant Professor at MIREA-Russian University of Technology in the Department, which Produces Bachelors in Computer Science and Masters in Information Systems and Technology.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 3598-3600 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4514119119/2019©BEIESP | DOI: 10.35940/ijitee.A4514.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Is devoted to solving the problem of identifying cause-and-effect relationships. A method of constructing a domain model based on data mining, known as formal conceptual analysis, is considered. It allows to solve problems of structuring of the available information. The purpose of data analysis technology is the production of new knowledge, identifying relationships (links) in the data. This method is used in the article to solve the problem of diagnostics of technical systems.
Keywords: Cause-and-Effect Relationship, Diagnostics, the Formal Conceptual Analysis.
Scope of the Article: Data Mining