Principal Investigator: Arthur Zimek
Faculty of Science – Department of Mathematics and Computer Science (IMADA) – SDU
For an evaluation study on unsupervised outlier detection and ensemble techniques, we run various methods with various parameterizations on many datasets, resulting in ca. 4.5 mio. individual experiments which are to a certain extent independent of each other and try to see what the benefits of parallelization are on this effort.
Have you ever wondered how a supercomputer works and what it can do for your research or teaching? At the eScience Center we can provide the support you need to solve large, advanced, complex computational Read more…
Principal Investigator: Ilia Solov´yov Faculty of Science – Department of Physics, Chemistry and Pharmacy (FKF) – SDU
Principal Investigator: Michael Petersen Faculty of Science – Department of Physics, Chemistry and Pharmacy (FKF) – SDU