5 results


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)


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]