Data mining and linked open data – New perspectives for data analysis in environmental research
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DOI: 10.1016/j.ecolmodel.2014.09.018
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Cited by:
- Usó-Doménech, J.L. & Nescolarde-Selva, J.A. & Lloret-Climent, M. & Gash, H., 2016. "Semantics of language for ecosystems modelling: A model case," Ecological Modelling, Elsevier, vol. 328(C), pages 85-94.
- Ma-Lin Song & Ron Fisher & Jian-Lin Wang & Lian-Biao Cui, 2018. "Environmental performance evaluation with big data: theories and methods," Annals of Operations Research, Springer, vol. 270(1), pages 459-472, November.
- Matheus Becker Costa & Leonardo Moraes Aguiar Lima Santos & Jones Luís Schaefer & Ismael Cristofer Baierle & Elpidio Oscar Benitez Nara, 2019. "Industry 4.0 technologies basic network identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 977-994, November.
- Sebastian Scheuer & Dagmar Haase & Annegret Haase & Nadja Kabisch & Manuel Wolff & Nina Schwarz & Katrin Großmann, 2020. "Combining tacit knowledge elicitation with the SilverKnETs tool and random forests – The example of residential housing choices in Leipzig," Environment and Planning B, , vol. 47(3), pages 400-416, March.
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Keywords
Data Mining; Knowledge Discovery Process; Data Mining Tools; Linked Open Data; Semantic; RapidMiner;All these keywords.
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