%0 Conference Paper %1 conf/ism2/BechnyH21 %A Bechný, Michal %A Himmelbauer, Johannes %B ISM %D 2021 %E Longo, Francesco %E Affenzeller, Michael %E Padovano, Antonio %I Elsevier %K dblp %P 257-266 %T Unsupervised approach for online outlier detection in industrial process data. %U http://dblp.uni-trier.de/db/conf/ism2/ism2021.html#BechnyH21 %V 200

@inproceedings{conf/ism2/BechnyH21, added-at = {2022-05-13T00:00:00.000+0200}, author = {Bechný, Michal and Himmelbauer, Johannes}, biburl = {https://www.bibsonomy.org/bibtex/242563005482459943fd5c343df0e9948/dblp}, booktitle = {ISM}, crossref = {conf/ism2/2021}, editor = {Longo, Francesco and Affenzeller, Michael and Padovano, Antonio}, ee = {https://doi.org/10.1016/j.procs.2022.01.224}, interhash = {78a05a18905317cd3dd7358a0e1d34c4}, intrahash = {42563005482459943fd5c343df0e9948}, keywords = {dblp}, pages = {257-266}, publisher = {Elsevier}, series = {Procedia Computer Science}, timestamp = {2024-04-09T18:48:10.000+0200}, title = {Unsupervised approach for online outlier detection in industrial process data.}, url = {http://dblp.uni-trier.de/db/conf/ism2/ism2021.html#BechnyH21}, volume = 200, year = 2021 }