Geochemical fingerprinting of coltan ores by machine learning on uneven data sets

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Geochemical fingerprinting of coltan ores by machine learning on uneven data sets. / Savu-Krohn, Christian; Rantitsch, Gerd; Auer, Peter; Melcher, Frank; Graupner, Torsten.

In: Natural Resources Research, Vol. 20, 2011, p. 177-191.

Research output: Contribution to journalArticleResearchpeer-review

Bibtex - Download

@article{cc5e4bd4bb3a475e91dd5ceb2c6082ce,
title = "Geochemical fingerprinting of coltan ores by machine learning on uneven data sets",
author = "Christian Savu-Krohn and Gerd Rantitsch and Peter Auer and Frank Melcher and Torsten Graupner",
year = "2011",
language = "English",
volume = "20",
pages = "177--191",
journal = "Natural Resources Research",
issn = "1520-7439",
publisher = "Springer Netherlands",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

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

AU - Savu-Krohn, Christian

AU - Rantitsch, Gerd

AU - Auer, Peter

AU - Melcher, Frank

AU - Graupner, Torsten

PY - 2011

Y1 - 2011

M3 - Article

VL - 20

SP - 177

EP - 191

JO - Natural Resources Research

JF - Natural Resources Research

SN - 1520-7439

ER -