Odkrywanie wzorców zachowań konsumentów za pomocą analizy koszykowej danych transakcyjnych
Discovering patterns of consumer behaviour by market basket analysis of the transactional data

Summary/Abstract: The article depicts a study analysing small convenience stores’ database, which contains nearly five thousand transactions. The first aim of the research is to discover asso-ciation rules between the categories of purchased products. The second goal is to verify whether there is any relationship between the selling category of products and the time of day when transactions were made. Moreover, the process of preparing data for analysis is described and the basic measures characterizing the strength of discovered rules are presented. The a priori algorithm was used during the research.

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