%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 }