Mining food industry's multidimensional data to produce association rules using apriori algorithm as a basis of business strategy

Mining food industry's multidimensional data to produce association rules using apriori algorithm as a basis of business strategy

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.

Published in: Information and Communication Technology (ICoICT), 2013 International Conference of

Date of Conference: 20-22 March 2013

Date Added to IEEE Xplore: 05 August 2013

ISBN Information:

INSPEC Accession Number: 13697620

DOI: 10.1109/ICoICT.2013.6574569

Publisher: IEEE

IEEE Keywords Association rules, Food products, Business, Flowcharts, Communications technology, Correlation  
Author Keywords Three Validation Levels, Data Reduction, Apriori, Support, Confidence, Association Rules  

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Cited:

F. Sulianta, T. H. Liong and I. Atastina, "Mining food industry's multidimensional data to produce association rules using apriori algorithm as a basis of business strategy," 2013 International Conference of Information and Communication Technology (ICoICT), Bandung, 2013, pp. 176-181, doi: 10.1109/ICoICT.2013.6574569. keywords: {Association rules;Food products;Business;Flowcharts;Communications technology;Correlation;Data Reduction;Apriori;Support;Confidence;Association Rules;Three Validation Levels},

 

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