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%0 Journal Article
%1 journals/ijdsa/UnnikrishnanBMN20
%A Unnikrishnan, Vishnu
%A Beyer, Christian
%A Matuszyk, Pawel
%A Niemann, Uli
%A Pryss, Rüdiger
%A Schlee, Winfried
%A Ntoutsi, Eirini
%A Spiliopoulou, Myra
%D 2020
%J Int. J. Data Sci. Anal.
%K myown streamclassification streammining
%N 1
%P 1-15
%T Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity.
%U http://dblp.uni-trier.de/db/journals/ijdsa/ijdsa9.html#UnnikrishnanBMN20
%V 9
@article{journals/ijdsa/UnnikrishnanBMN20,
added-at = {2020-04-11T18:41:56.000+0200},
author = {Unnikrishnan, Vishnu and Beyer, Christian and Matuszyk, Pawel and Niemann, Uli and Pryss, Rüdiger and Schlee, Winfried and Ntoutsi, Eirini and Spiliopoulou, Myra},
biburl = {https://www.bibsonomy.org/bibtex/26781de400d1652eb752e37091de57fff/entoutsi},
ee = {https://doi.org/10.1007/s41060-019-00177-1},
interhash = {73147b86e2074acc61cc85e4a4f1aa62},
intrahash = {6781de400d1652eb752e37091de57fff},
journal = {Int. J. Data Sci. Anal.},
keywords = {myown streamclassification streammining},
number = 1,
pages = {1-15},
timestamp = {2020-04-11T18:41:56.000+0200},
title = {Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity.},
url = {http://dblp.uni-trier.de/db/journals/ijdsa/ijdsa9.html#UnnikrishnanBMN20},
volume = 9,
year = 2020
}