Extraction of quantitative association rules considering significance of features

Authors

  • Татьяна Анатольевна Зайко Zaporizhzhya National Technical University str. Zhukovsky, 64, Zaporozhye, 69063, Ukraine
  • Андрей Александрович Олейник Zaporizhzhya National Technical University str. Zhukovsky, 64, Zaporozhye, 69063, Ukraine
  • Сергей Александрович Субботин Zaporizhzhya National Technical University str. Zhukovsky, 64, Zaporozhye, 69063, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2013.18337

Keywords:

association rule, rules database, fuzzy logic, transaction, fuzzification, membership function

Abstract

The solution of the problem of automating the extraction of quantitative association rules in the diagnosis and recognition of images is considered in the paper, and some results of our research in this area are given. The main purpose of the study is developing a method for extracting quantitative association rules, considering the significance of features. The use of modern methods of searching association rules allows extracting new knowledge from large amounts of information. The issues of extracting the quantitative association rules are considered in the paper for identifying new knowledge when solving problems of diagnosing and recognizing of images. The proposed method allows extracting quantitative association rules from the transaction databases. We propose to use a priori information concerning the significance of features that reduces the search scope, the time of rules extraction, the number of extracted rules, and accordingly, increases the levels of generalization and interpretability of the synthesized base of association rules. The research results can be used by researchers who study and analyze complex objects, processes and systems in order to identify new knowledge, as well as in decision support systems in technical and medical diagnostics.

Author Biographies

Татьяна Анатольевна Зайко, Zaporizhzhya National Technical University str. Zhukovsky, 64, Zaporozhye, 69063

Postgraduate student

Department of Software Tools

Андрей Александрович Олейник, Zaporizhzhya National Technical University str. Zhukovsky, 64, Zaporozhye, 69063

PhD, Associate Professor

Department of Software Tools

Сергей Александрович Субботин, Zaporizhzhya National Technical University str. Zhukovsky, 64, Zaporozhye, 69063

PhD, Professor

Department of Software Tools

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Published

2013-10-29

How to Cite

Зайко, Т. А., Олейник, А. А., & Субботин, С. А. (2013). Extraction of quantitative association rules considering significance of features. Eastern-European Journal of Enterprise Technologies, 5(4(65), 28–34. https://doi.org/10.15587/1729-4061.2013.18337

Issue

Vol. 5 No. 4(65) (2013): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2014 Татьяна Анатольевна Зайко, Андрей Александрович Олейник, Сергей Александрович Субботин

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