The nature of statistical learning theory
The nature of statistical learning theory
Data mining techniques for optimizing inventories for electronic commerce
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Design quality and robustness with neural networks
IEEE Transactions on Neural Networks
Data strip mining for the virtual design of pharmaceuticals with neural networks
IEEE Transactions on Neural Networks
Review: A review of data mining applications for quality improvement in manufacturing industry
Expert Systems with Applications: An International Journal
Comparative Study of ECG Classification Performance Using Decision Tree Algorithms
International Journal of E-Health and Medical Communications
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This paper presents the preliminary results of a datamining study of a production line involving hundreds ofvariables related to mechanical, chemical, electrical andmagnetic processes involved in manufacturing coatedglass. The study was performed using two nonlinear,nonparametric approaches, namely neural network andCART, to model the relationship between the qualities ofthe coating and machine readings. Furthermore, neuralnetwork sensitivity analysis and CART variable rankingswere used to gain insight into the coating process. Ourinitial results show the promise of data mining techniquesto improve the production.