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A survey on pre-processing techniques: Relevant issues in the context of environmental data mining

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A survey on pre-processing techniques: Relevant issues in the context of environmental data mining

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Gibert, K.; Sanchez-Marre, M.; Izquierdo Sebastián, J. (2016). A survey on pre-processing techniques: Relevant issues in the context of environmental data mining. AI Communications. 29(6):627-663. doi:10.3233/AIC-160710

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/82753

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Title: A survey on pre-processing techniques: Relevant issues in the context of environmental data mining
Author:
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària
Issued date:
Abstract:
One of the important issues related with all types of data analysis, either statistical data analysis, machine learning, data mining, data science or whatever form of data-driven modeling, is data quality. The more complex ...[+]
Subjects: Pre-processing , Data quality , Data mining , Knowledge discovery from databases , Multidisciplinary approach , Environmental systems
Copyrigths: Reserva de todos los derechos
Source:
AI Communications. (issn: 0921-7126 )
DOI: 10.3233/AIC-160710
Publisher:
IOS Press
Publisher version: http://dx.doi.org/10.3233/AIC-160710
Type: Artículo

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