Geochemical fingerprinting of coltan ores by machine learning on uneven datasets

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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Geochemical fingerprinting of coltan ores by machine learning on uneven datasets. / Savu-Krohn, Christian; Rantitsch, Gerd; Auer, Peter et al.
in: Natural Resources Research, Jahrgang 20, Nr. 3, 2011, S. 177-191.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

Bibtex - Download

@article{5ec2688e03044232b48045c863379af8,
title = "Geochemical fingerprinting of coltan ores by machine learning on uneven datasets",
author = "Christian Savu-Krohn and Gerd Rantitsch and Peter Auer and Frank Melcher and Torsten Graupner",
year = "2011",
doi = "10.1007/s11053-011-9142-4",
language = "English",
volume = "20",
pages = "177--191",
journal = "Natural Resources Research",
issn = "1520-7439",
publisher = "Springer Netherlands",
number = "3",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Geochemical fingerprinting of coltan ores by machine learning on uneven datasets

AU - Savu-Krohn, Christian

AU - Rantitsch, Gerd

AU - Auer, Peter

AU - Melcher, Frank

AU - Graupner, Torsten

PY - 2011

Y1 - 2011

U2 - 10.1007/s11053-011-9142-4

DO - 10.1007/s11053-011-9142-4

M3 - Article

VL - 20

SP - 177

EP - 191

JO - Natural Resources Research

JF - Natural Resources Research

SN - 1520-7439

IS - 3

ER -