DocumentCode
628089
Title
Mining food industry´s multidimensional data to produce association rules using apriori algorithm as a basis of business strategy
Author
Sulianta, Feri ; Thee Houw Liong ; Atastina, Imelda
Author_Institution
Informatic Eng., Telkom Inst. of Technol., Bandung, Indonesia
fYear
2013
fDate
20-22 March 2013
Firstpage
176
Lastpage
181
Abstract
The food industry sell a range of product variations. The company want to take advantage to build business strategy from huge information which is stored in data warehouse. In this case, data mining technology needs to be implemented to explore valuable information on transactional data to assess customer´s preferences for products sold as a business strategy.
Keywords
commerce; customer satisfaction; data mining; data warehouses; food processing industry; apriori algorithm; association rules; business strategy; customer preference; data warehouse; food industry; multidimensional data mining; Association rules; Business; Communications technology; Correlation; Flowcharts; Food products; Apriori; Association Rules; Confidence; Data Reduction; Support; Three Validation Levels;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technology (ICoICT), 2013 International Conference of
Conference_Location
Bandung
Print_ISBN
978-1-4673-4990-1
Type
conf
DOI
10.1109/ICoICT.2013.6574569
Filename
6574569
Link To Document