%0 Book Section %1 AMS:16 %A Atzmueller, Martin %A Mollenhauer, Dennis %A Schmidt, Andreas %B Enterprise Big Data Engineering, Analytics, and Management %C Hershey, PA, USA %D 2016 %I IGI Global %K 2016 analytics big data detection discovery exceptional exceptionality feepub itegpub knowledge local mining model myown subgroup %T Big Data Analytics Using Local Exceptionality Detection %U https://www.kde.cs.uni-kassel.de/atzmueller/paper/Atzmueller-Preprint-Big-Data-Analytics-Using-Local-Exceptionality-Detection.pdf

@incollection{AMS:16, added-at = {2018-08-30T11:59:25.000+0200}, address = {Hershey, PA, USA}, author = {Atzmueller, Martin and Mollenhauer, Dennis and Schmidt, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/2b117c1e18e0748fbd065ba79c65c40f3/kde-alumni}, booktitle = {{Enterprise Big Data Engineering, Analytics, and Management}}, interhash = {4e285eba96b2166f0667c5de63bc070c}, intrahash = {b117c1e18e0748fbd065ba79c65c40f3}, keywords = {2016 analytics big data detection discovery exceptional exceptionality feepub itegpub knowledge local mining model myown subgroup}, publisher = {IGI Global}, timestamp = {2018-08-30T11:59:25.000+0200}, title = {{Big Data Analytics Using Local Exceptionality Detection}}, url = {https://www.kde.cs.uni-kassel.de/atzmueller/paper/Atzmueller-Preprint-Big-Data-Analytics-Using-Local-Exceptionality-Detection.pdf}, year = 2016 }