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
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;
Conference_Titel :
Information and Communication Technology (ICoICT), 2013 International Conference of
Conference_Location :
Bandung
Print_ISBN :
978-1-4673-4990-1
DOI :
10.1109/ICoICT.2013.6574569
