Density-Based Outlier Detection Benchmark on Synthetic Data (Thesis)
Zur Navigation springen
Zur Suche springen
Vortragende(r) | Lena Witterauf | |
---|---|---|
Vortragstyp | Bachelorarbeit | |
Betreuer(in) | Georg Steinbuss | |
Termin | Fr 21. Juni 2019 | |
Vortragsmodus | ||
Kurzfassung | Outlier detection is a popular topic in research, with a number of different approaches developed. Evaluating the effectiveness of these approaches however is a rather rarely touched field. The lack of commonly accepted benchmark data most likely is one of the obstacles for running a fair comparison of unsupervised outlier detection algorithms. This thesis compares the effectiveness of twelve density-based outlier detection algorithms in nearly 800.000 experiments over a broad range of algorithm parameters using the probability density as ground truth. |