A carregar...
Publicação
Market basket analysis : trend analysis of association rules in different time periods
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 848.11 KB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Market basket analysis (i.e. Data mining technique in the field of marketing) is the method to find
the associations between the items / item sets and based on those associations we can analyze the
consumer behavior. In this research we have presented the variability of time, because with the
change in time the habits or behavior of the customer also changes. For example, people wear
warm clothes in winter and light clothes in summer. Similarly, customers purchase behavior also
changes with the change in time. We study the problem of discovering association rules that
display regular cyclic variation over time. This problem will allow us to access the changing trends
in the purchase behavior of customers in a retail market, and we will be able to analyze the results
which will display the changing trends of the association rules. In this research we will study the
interaction between association rules and time. We worked on transactional data of a Belgian retail
company and analyzed the results which will help the company to build up time period specific
marketing strategies, promotional strategies, etc. to increase the profit of their company.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRM
Palavras-chave
Data mining Market basket analysis Association rules Apriori algorithm Changing trends of association rules Comparative Analysis