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%0 Conference Paper
%1 jaeschke2016nchstenachbarnansatz
%A Jaeschke, Benjamin
%A Kroll, Andreas
%B Proc. 26. Workshop Computational Intelligence
%D 2016
%I KIT Scientific Publishing
%K 2016 anomaly big data detection feepub mining
%P 245-260
%T Ein Nächste-Nachbarn-Ansatz zur Anomaliedetektion bei Massendaten aus kontinuierlich betriebenen Chemieanlagen
@inproceedings{jaeschke2016nchstenachbarnansatz,
added-at = {2017-01-22T20:49:01.000+0100},
author = {Jaeschke, Benjamin and Kroll, Andreas},
biburl = {https://www.bibsonomy.org/bibtex/2c09a7dcc1b391a192f2a655f5c18daa3/atzmueller},
booktitle = {Proc. 26. Workshop Computational Intelligence},
interhash = {8df102c8b190da224c2ccc66f0fb9886},
intrahash = {c09a7dcc1b391a192f2a655f5c18daa3},
keywords = {2016 anomaly big data detection feepub mining},
organization = {GMA-FA 5.14},
pages = {245-260},
publisher = {KIT Scientific Publishing},
timestamp = {2017-01-22T20:49:01.000+0100},
title = {Ein Nächste-Nachbarn-Ansatz zur Anomaliedetektion bei Massendaten aus kontinuierlich betriebenen Chemieanlagen},
year = 2016
}