Geochemical fingerprinting of Coltan ores by machine learning on uneven datasets

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Translated title of the contribution	Geochemical fingerprinting of Coltan ores by machine learning on uneven datasets
Original language	English
Title of host publication	Geochemical fingerprinting of Coltan ores by machine learning on uneven datasets
Publisher	Geoaustria
Pages	217-218
Publication status	Published - 2010

Cite this

@inproceedings{b12967e5125a4617bdb460cdd51bc3cc,

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 = "2010",

language = "English",

pages = "217--218",

booktitle = "Geochemical fingerprinting of Coltan ores by machine learning on uneven datasets",

publisher = "Geoaustria",

}

TY - GEN

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 - 2010

Y1 - 2010

M3 - Conference contribution

SP - 217

EP - 218

BT - Geochemical fingerprinting of Coltan ores by machine learning on uneven datasets

PB - Geoaustria

ER -