Abstract
The introduction of bar codes and scanning of those for almost all-commercial products and the computerisation of business transactions (e.g. credit card purchases) have generated an explosive growth in retail data warehouses. Simultaneously, the big competition in this business area has created a significant need for a rigorous knowledge about sales versus clients. The treatment of such volumes of data and the need to understand customer behaviour can only be obtained with a data mining system. We have begin by doing market basket analysis (MBA), however the obtained results have not being so much advantageous, that’s why we propose some previous data preparation that have help us to obtain more interesting results
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© 1998 Springer-Verlag Berlin Heidelberg
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de Rodrigues, M.F., Ramos, C., Henriques, P.R. (1998). Extracting Knowledge Patterns from Ticket Data. In: Arikawa, S., Motoda, H. (eds) Discovey Science. DS 1998. Lecture Notes in Computer Science(), vol 1532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49292-5_58
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DOI: https://doi.org/10.1007/3-540-49292-5_58
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