Which method to use? An assessment of data mining methods in Environmental Data Science

Data Mining (DM) is a fundamental component of the Data Science process. Over recent years a huge library of DM algorithms has been developed to tackle a variety of problems in fields such as medical imaging and traffic analysis. Many DM techniques are far more flexible than more classical numerial...

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Veröffentlicht in:	Environmental modelling & software : with environment data news Jg. 110; S. 3 - 27
Hauptverfasser:	Gibert, Karina, Izquierdo, Joaquín, Sànchez-Marrè, Miquel, Hamilton, Serena H., Rodríguez-Roda, Ignasi, Holmes, Geoff
Format:	Journal Article Verlag
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.12.2018 Elsevier Science Ltd Elsevier
Schlagworte:	62 Statistics 62L Sequential methods 68 Computer science 68P Theory of data Algorithms Artificial neural networks Bayesian analysis Bayesian theory Classificació AMS Clustering Computer science Computer simulation Data mining Data processing Data science Environment Environment models Environmental modeling environmental models Environmental research Environmental systems Estadística matemàtica Guidelines image analysis Informàtica Matemàtica aplicada a les ciències Matemàtiques i estadística Mathematical models Medical imaging Method selection mining Multidisciplinarity Mètodes estadístics Neural networks Post-production processing Scientists Sequences (Mathematics) Seqüències (Matemàtica) Statistical models Support vector machines traffic Àrees temàtiques de la UPC Method selection Data science Multidisciplinarity Data mining Environmental systems
ISSN:	1364-8152, 1873-6726
Online-Zugang:	Volltext
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