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.

关键词： Market basket analysis Text segmentation Association rule

作者: XIE Wen-xiu Qi Heng-nian Huang Mei-li

作者单位: School of Information Engineering Zhejiang Agriculture and Forestry Unversity Hangzhou,China School of Information Engineering Zhejiang Agriculture and Forestry Unversity Hangzhou, China School of Information Engineering Zhejiang Agriculture and Forestry Unversity Hangzhou, China

会议类型: 国际会议

会议名称: The First International Conference on Networking and Distributed Computing(第一届网络与分布式计算国际会议 ICNDC 2010)

会议地点: 杭州

会议语种:英文

页码: 309-313

在线出版日期: 2010-10-21（万方平台首次上网日期，不代表论文的发表时间）