Anomaly detection and classification using a metric for determining the significance of failures - Case study: mobile network management data from LTE network.
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%0 Journal Article
%1 journals/nca/JeromeH17
%A Jerome, Robin Babujee
%A Hätönen, Kimmo
%D 2017
%J Neural Comput. Appl.
%K dblp
%N 6
%P 1265-1275
%T Anomaly detection and classification using a metric for determining the significance of failures - Case study: mobile network management data from LTE network.
%U http://dblp.uni-trier.de/db/journals/nca/nca28.html#JeromeH17
%V 28
@article{journals/nca/JeromeH17,
added-at = {2020-09-10T00:00:00.000+0200},
author = {Jerome, Robin Babujee and Hätönen, Kimmo},
biburl = {https://www.bibsonomy.org/bibtex/2bf82d092f7797050526759822aeb8106/dblp},
ee = {https://doi.org/10.1007/s00521-016-2570-7},
interhash = {db85bef277507d3fe1b1bd45b545b032},
intrahash = {bf82d092f7797050526759822aeb8106},
journal = {Neural Comput. Appl.},
keywords = {dblp},
number = 6,
pages = {1265-1275},
timestamp = {2020-09-11T11:37:30.000+0200},
title = {Anomaly detection and classification using a metric for determining the significance of failures - Case study: mobile network management data from LTE network.},
url = {http://dblp.uni-trier.de/db/journals/nca/nca28.html#JeromeH17},
volume = 28,
year = 2017
}
