Wednesday, 6 April 2011

Wseas Transactions

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Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 20-662
Full Name: Roberto Fernandez-Martinez
Position: Assistant Professor
Age: ON
Sex: Male
Address: Calle Luis de Ulloa Nº 20 Logroño La Rioja
Country: SPAIN
Tel: 0034941299274
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E-mail address: roberto.fernandez@unirioja.es
Other E-mails: robfermar@gmail.com
Title of the Paper: Dimensionality reduction in a database related with viticulture crops using wrapper techniques
Authors as they appear in the Paper: R. Fernandez-Martinez, J. Fernandez-Ceniceros, A. Sanz-Garcia, R. Lostado-Lorza, F.J. Martinez-De-Pison-Ascacibar
Email addresses of all the authors: roberto.fernandez@unirioja.es, julio.fernandezc@unirioja.es, andres.sanz@unirioja.es, ruben.lostado@unirioja.es, fjmartin@unirioja.es.
Number of paper pages: 8
Abstract: Recent advance in environmental monitoring technologies allows that every day, major amount of agricultural productions have a support to be controlled better. Coverall, thanks to manufacturing advances of new sensors, which allow realizing acquisition of physical variables with almost no limitation. This entails the existence of great amount of stored data, distributed in different variables that make really complicated work with them. In these circumstances, the problem arises at the time of building models when it works with a large number of variables. In order to solve it, feature selection methods are used to reduce this large number, improving building, training and validation models processes based on machine learning techniques. The methods used due to their satisfactory results, in the practical case of several viticulture crops, have been wrappers methods.
Keywords: Dimensionality reduction, feature selection, ripening grape berries, viticulture crop, wrapper methods.
EXTENSION of the file: .pdf
Special (Invited) Session: Application of wrapper methods for feature selection in modelling ripening process of a viticulture crop
Organizer of the Session: 653-212
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