Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 282-283)
Chapter
Chapter 4: Intelligent Materials, Photonics and Power
Edited by
Helen Zhang and David Jin
Pages
770-773
DOI
10.4028/www.scientific.net/AMR.282-283.770
Citation
R. L. Luo, "Application of Data Mining in Data Analysis of Tobacco Consumption", Advanced Materials Research, Vols. 282-283, pp. 770-773, 2011
Online since
July 2011
Authors
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Price
$32.00
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