10 results


Fries S.:
Efficient clustering of massive data with MapReduce
Dissertation, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University. (2015) Date of oral exam: 01.12.2014


Fries S., Wels S., Seidl T.:
Projected Clustering for Huge Data Sets in MapReduce
International Conference on Extending Database Technology (EDBT 2014), Athens, Greece P.49-60 (2014)
[EDBT 2014]
Fries S., Boden B., Stepien G., Seidl T.:
PHiDJ: Parallel Similarity Self-Join for High-Dimensional Vector Data with MapReduce
Proc. IEEE 30th International Conference on Data Engineering (ICDE 2014), Chicago, IL, USA (2014)
[ICDE 2014]


Seidl T., Fries S., Boden B.:
MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce
15. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2013), Magdeburg, Germany P.37-56 (2013)


Seidl T., Boden B., Fries S.:
CC-MR - Finding Connected Components in Huge Graphs with MapReduce
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012), Bristol, UK P.458-473 (2012) Here ( you find the supplementary material for the paper.


Böhm C., Färber I., Fries S., Korte U., Merkle J., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P.:
Efficient Database Techniques for Identification with Fuzzy Vault Templates
BIOSIG 2011 - Proceedings of the Special Interest Group on Biometrics and Electronic Signatures P.115-126 (2011)
[GI article]
Busch C., Korte U., Abt S., Böhm C., Färber I., Fries S., Merkle J., Nickel C., Nouak A., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P., Zhou X.:
Biometric Template Protection: Ein Bericht über das Projekt BioKeyS
Datenschutz und Datensicherheit - DuD, Volume 35, Number 3 P.183-191 (2011)
Böhm C., Färber I., Fries S., Korte U., Merkle J., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P.:
Filtertechniken für geschützte biometrische Datenbanken
Proc. 14th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2011), Kaiserslautern, Germany P.379-389 (2011)
[BTW 2011]


Kranen P., Günnemann S., Fries S., Seidl T.:
MC-Tree: Improving Bayesian Anytime Classification
Proc. of the 22nd International Conference on Scientific and Statistical Database Management (SSDBM 2010), Heidelberg, Germany, Springer LNCS P.252-269 (2010)
[SSDBM 2010] [DOI: 10.1007/978-3-642-13818-8_19]


Fries S.:
Bestimmung des optimalen Verzweigungsgrades hierarchischer Anytime-Klassifikatoren
Studierendenprogramm at the 13th GI-conference on Databases, Technology and Web (BTW 2009), Münster, Germany (2009) (ausgezeichnet als bester Beitrag im Studierendenprogramm der BTW 2009 )
[BTW 2009 Studierendenprogramm]