Working with real world datasets: preprocessing and prediction with large incomplete and heterogeneous datasets

Schöner, Holger

by Holger Schöner

Reference:

Working with real world datasets: preprocessing and prediction with large incomplete and heterogeneous datasets (Holger Schöner), PhD thesis, Technical University of Berlin, School of Electrical Engineering and Computer Sciences, 2004. (Published: Print on Demand)

Bibtex Entry:

@phdthesis{schoner_working_2004,
	title = {Working with real world datasets: preprocessing and prediction with large incomplete and heterogeneous datasets},
	url = {http://opus.kobv.de/tuberlin/volltexte/2005/755/},
	school = {Technical University of Berlin, School of Electrical Engineering and Computer Sciences},
	author = {Schöner, Holger},
	month = dec,
	year = {2004},
	note = {Published: Print on Demand},
	keywords = {blind source separation, heterogeneous features, missing values, optical imaging, real world datasets, thesis},
	file = {download/publications/Schoener2004_Phd.pdf}
}