Dependency anomaly detection for heterogeneous time series: A Granger-Lasso approach

Dependency anomaly detection for heterogeneous time series: A Granger-Lasso approach

Content
Grafik
Authors
  • Behzadi, Sahar
  • Hlavackova-Schindler, Katerina
  • Plant, Claudia
Grafik Top
Shortfacts
Category
 Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
 IEEE International Conference on Data Mining (ICDM) 2017
Divisions
 Data Mining and Machine Learning
Subjects
 Datenstrukturen
Event Location
 New Orleans, USA
Event Type
 Workshop
Event Dates
 18-21 Nov 2017
Date
 2017
Export
Grafik Top
Universität Wien| Fakultät für Informatik | Währinger Straße 29 | 1090 Wien | T +43-1-4277-780 01 | Imprint | Webteam
EPrints Logo
CS is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.