Market Basket Analysis Based on Text Segmentation and Association Rule Mining

摘要

Market basket analysis helps to provide scientific decision support for retail market by mining association rules among items people purchased together. In this paper, we propose an innovative market basket analysis method by mining association rules on the items’ internal characteristics which are obtained by using automatic words segmentation technology. The method has been applied to a dynamic dishes recommend system and validated by the experimental results.