کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
552839 873278 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling wine preferences by data mining from physicochemical properties
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
Modeling wine preferences by data mining from physicochemical properties
چکیده انگلیسی

We propose a data mining approach to predict human wine taste preferences that is based on easily available analytical tests at the certification step. A large dataset (when compared to other studies in this domain) is considered, with white and red vinho verde samples (from Portugal). Three regression techniques were applied, under a computationally efficient procedure that performs simultaneous variable and model selection. The support vector machine achieved promising results, outperforming the multiple regression and neural network methods. Such model is useful to support the oenologist wine tasting evaluations and improve wine production. Furthermore, similar techniques can help in target marketing by modeling consumer tastes from niche markets.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Decision Support Systems - Volume 47, Issue 4, November 2009, Pages 547–553
نویسندگان
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