Using Data Mining for Wine Quality Assessment
- 1 January 2009
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- An optimization approach for scheduling wine grape harvest operationsInternational Journal of Production Economics, 2008
- Modeling consumer situational choice of long distance communication with neural networksDecision Support Systems, 2008
- Prediction of Enological Parameters and Discrimination of Rice Wine Age Using Least-Squares Support Vector Machines and Near Infrared SpectroscopyJournal of Agricultural and Food Chemistry, 2008
- Differentiation of two Canary DO red wines according to their metal content from inductively coupled plasma optical emission spectrometry and graphite furnace atomic absorption spectrometry by using Probabilistic Neural NetworksTalanta, 2006
- A tutorial on support vector regressionStatistics and Computing, 2004
- Practical selection of SVM parameters and noise estimation for SVM regressionNeural Networks, 2004
- Evaluation of Italian wine by the electronic tongue: recognition, quantitative analysis and correlation with human sensory perceptionAnalytica Chimica Acta, 2003
- Determination of the spread parameter in the Gaussian kernel for classification and regressionNeurocomputing, 2002
- Making Sense of TasteScientific American, 2001
- Data strip mining for the virtual design of pharmaceuticals with neural networksIEEE Transactions on Neural Networks, 2000