Methods of a behavior analysis for store buyers for sales increase

Authors

  • Анастасія Валентинівна Літвінцева Kharkiv National University of Radioelectronics 14 Lenina str., Kharkov, Ukraine, 61166, Ukraine
  • Наталя Совєтівна Лєсна Kharkiv National University of Radioelectronics 14 Lenina str., Kharkov, Ukraine, 61166, Ukraine

DOI:

https://doi.org/10.15587/2313-8416.2015.55825

Keywords:

market basket analysis, community detection, product chain, transaction data, association rules

Abstract

The field of market basket analysis, the search for meaningful associations in customer purchase data is one of the oldest areas of data mining. The typical solution involves the mining and analysis of association rules, which take the form of statements. Typical transaction datasets can support hundreds or thousands of obvious association rules. Select the best method of data analysis is important task

Author Biographies

Анастасія Валентинівна Літвінцева, Kharkiv National University of Radioelectronics 14 Lenina str., Kharkov, Ukraine, 61166

Department of Software Engineering

Наталя Совєтівна Лєсна, Kharkiv National University of Radioelectronics 14 Lenina str., Kharkov, Ukraine, 61166

Candidate of Tech.Sc., professor

Department of Software Engineering

References

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Published

2015-12-20

Issue

Vol. 12 No. 2 (17) (2015)

Section

Technical Sciences

License

Copyright (c) 2015 Анастасія Валентинівна Літвінцева, Наталя Совєтівна Лєсна

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