DocumentCode
3476829
Title
The Application of Association Rules in Retail Marketing Mix
Author
Liu, Hongwei ; Su, Bin ; Zhang, Bixi
Author_Institution
Guangdong Univ. of Technol., Guangzhou
fYear
2007
fDate
18-21 Aug. 2007
Firstpage
2514
Lastpage
2517
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location
Jinan
Print_ISBN
978-1-4244-1531-1
Type
conf
DOI
10.1109/ICAL.2007.4339002
Filename
4339002
Link To Document