Application of Data Mining in Data Analysis of Tobacco Consumption

Abstract:

Development of data mining technology provides convenience for analyzing tobacco consumers’ act. Through simple introduction on contents and categories of data mining technology, the survey on tobacco consumption act of Shaoxin Tobacco Company is analyzed with association rules and data mining software Weka, and factors which affect tobacco consumption are mined on with association with Apriori Algorithm, so as to provide valuable references for brand spreading channels, product design, improvement of taste and flavor, package, price and other aspects for the tobacco company.

• Periodical: Advanced Materials Research (Volumes 282-283)
• Pages: 770-773
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.282-283.770
• Online since: July 2011
• Authors: Rong Liang Luo
• Keywords: Association Rule, Data Mining (DM), Tobacco Consumption, Weka Software

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