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  • 标题:Quantitative Analysis of Dairy Product Packaging with the Application of Data Mining Techniques
  • 本地全文:下载
  • 作者:Ankita Chopra ; Yukti Ahuja ; Mahima Gupta
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2016
  • 卷号:7
  • 期号:2
  • 页码:755-759
  • 出版社:TechScience Publications
  • 摘要:Consumers make choices about where to shopbased on their preferences for a shopping environment andexperience as well as the selection of products at a particularstore. This study illustrates how dairy firms and marketinganalysts can utilize data mining techniques to betterunderstand customer profiles and behaviour.A survey is done on blind dairy product packaging and itscompetitors. Primary data is collected based on the packagedesign rating of dairy products. The customers are evaluatedon the attributes like gender, education, occupation and aquantitative analysis is done with the application of datamining technique like classification on the data set.The paper presents how data mining discovers and extractsuseful patterns from this large data to find observablepatterns. The paper demonstrates activity of data mining inimproving the quality of decision making process in dairyindustry.
  • 关键词:Data Mining; Classification; Data mining;Application; Knowledge discovery database
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