抄録
This study is concerned with the development of marketing strategies for mineral water based on consumers' taste preferences, by analyzing the taste components of mineral water. In this study, we used a twodimensional analysis to classify taste data. We conducted a correlation analysis to identify the characteristics of taste data. We applied a combination of principal component analysis and self-organizing map to classify mineral water tastes. Based on this evaluation, we identified some marketing strategies in the conclusion. According to this study, the taste of mineral water is not determined by the origin and is not influenced by the hardness of the water.
本文言語 | English |
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ページ(範囲) | 514-520 |
ページ数 | 7 |
ジャーナル | Journal of Advanced Computational Intelligence and Intelligent Informatics |
巻 | 16 |
号 | 4 |
出版ステータス | Published - 2012 6月 |
ASJC Scopus subject areas
- 人工知能
- コンピュータ ビジョンおよびパターン認識
- 人間とコンピュータの相互作用