Aus SDQ-Institutsseminar
Termin (Alle Termine)
Datum Freitag, 19. Januar 2018
Uhrzeit 11:30 – 11:50 Uhr (Dauer: 20 min)
Ort Raum 348 (Gebäude 50.34)
Vorheriger Termin Fr 12. Januar 2018
Nächster Termin Fr 26. Januar 2018

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Vortragende(r) Florian Pieper
Titel Neural-Based Outlier Detection in Data Streams
Vortragstyp Proposal
Betreuer(in) Edouard Fouché
Kurzfassung Outlier detection often needs to be done unsupervised with high dimensional data in data streams. “Deep structured energy-based models” (DSEBM) and “Variational Denoising Autoencoder” (VDA) are two promising approaches for outlier detection. They will be implemented and adapted for usage in data streams. Finally, their performance will be shown in experiments including the comparison with state of the art approaches.
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