Title :
Market Basket Analysis Based on Text Segmentation and Association Rule Mining
Author :
Xie Wen-xiu ; Heng-Nian, Qi ; Mei-Li, Huang
Author_Institution :
Sch. of Inf. Eng., Zhejiang Agric. & Forestry Univ., Hangzhou, China
Abstract :
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.
Keywords :
data mining; market research; retail data processing; text analysis; word processing; association rule mining; automatic word segmentation; market basket analysis; retail market; scientific decision support; text segmentation; Agriculture; Association rules; Databases; Forestry; Presses; Servers; Association rule; Market basket analysis; Text segmentation;
Conference_Titel :
Networking and Distributed Computing (ICNDC), 2010 First International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8382-2
DOI :
10.1109/ICNDC.2010.67
