Title :
The Application of Association Rules in Retail Marketing Mix
Author :
Liu, Hongwei ; Su, Bin ; Zhang, Bixi
Author_Institution :
Guangdong Univ. of Technol., Guangzhou
Abstract :
With the development of information technology, retail companies have accumulated a huge amount of data which may be potentially valuable but currently untapped. In a changing competitive environment, the usage of data mining to tap the potential knowledge and its decision-supporting applications has a crucial implication for retailer in competitiveness raise which is consisted of rational marketing mix, cost reduction and customer loyalty improvement. The paper emphasized on conceptually introduction for practical applications of association rules in marketing stratagem. The efforts are dedicated to benefit rational marketing mix of retail enterprises.
Keywords :
data mining; decision support systems; retail data processing; association rules; data mining; decision support systems; marketing stratagem; retail enterprises; retail marketing mix; retailer competitiveness; Association rules; Costs; Data mining; Decision making; Economic forecasting; Frequency; Information technology; Itemsets; Memory; Transaction databases; Association Rules; Data mining; Marketing mix; Rational decision making;
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
DOI :
10.1109/ICAL.2007.4339002