RECol: Reconstruction Error Columns for Outlier Detection
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Dayananda Herurkar, Mario Meier, Jörn Hees |
| Parent Title (English): | Seipel, Steen (Eds.): KI 2023: Advances in Artificial Intelligence. 46th German Conference on AI, Berlin, Germany, September 26–29, 2023, Proceedings |
| Number of pages: | 15 |
| First Page: | 60 |
| Last Page: | 74 |
| ISBN: | 978-3-031-42607-0 |
| DOI: | https://doi.org/10.1007/978-3-031-42608-7_6 |
| Publisher: | Springer |
| Place of publication: | Cham |
| Date of first publication: | 2023/09/18 |
| Copyright: | © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG |
| Funding: | This work was supported by the BMWK project EuroDaT (Grant 68GX21010K) and XAINES (Grant 01IW20005). |
| Keyword: | Column; Features; Outlier Detection; Reconstruction Error |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) | |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Entry in this database: | 2023/09/21 |
