- Veröffentlicht: Mittwoch, 17. Juni 2015 09:25
ScaDS-Gastvortrag: "Selected Parallel and Scalable Methods for Scientific Big Data Analytics"
Vortragender: Morris Riedel (University of Iceland, FZ Jülich)
Datum: 21. Mai 2015, 15 Uhr
Ort: Willersbau A317 (Zellescher Weg 12-14)
The goal of this talk is to inform participants about two concrete and widely used data analytics techniques that are suitable to analyse ‘big data’ for scientific and engineering applications. After a brief introduction to the general approach of using machine learning, data mining, and statistical computing in data analytics, the talk will offer details on the ‘clustering’ technique that partitions datasets into subgroups (i.e. clusters) previously unknown. From the broad class of available methods we focus on the density-based spatial clustering of applications with noise (DBSCAN) algorithm that also enables the identification of outliers or interesting anomalies.