%0 Conference Paper %1 conf/ijcnn/CuzzocreaFGP16 %A Cuzzocrea, Alfredo %A Folino, Francesco %A Guarascio, Massimo %A Pontieri, Luigi %B IJCNN %D 2016 %I IEEE %K dblp %P 3809-3816 %T A multi-view multi-dimensional ensemble learning approach to mining business process deviances. %U http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2016.html#CuzzocreaFGP16 %@ 978-1-5090-0620-5

@inproceedings{conf/ijcnn/CuzzocreaFGP16, added-at = {2023-05-24T00:00:00.000+0200}, author = {Cuzzocrea, Alfredo and Folino, Francesco and Guarascio, Massimo and Pontieri, Luigi}, biburl = {https://www.bibsonomy.org/bibtex/2937a4449e7461a433056aa69cf268d4f/dblp}, booktitle = {IJCNN}, crossref = {conf/ijcnn/2016}, ee = {https://doi.org/10.1109/IJCNN.2016.7727691}, interhash = {76cfc1224ef2f03d71bfb570426e8a5e}, intrahash = {937a4449e7461a433056aa69cf268d4f}, isbn = {978-1-5090-0620-5}, keywords = {dblp}, pages = {3809-3816}, publisher = {IEEE}, timestamp = {2024-04-10T10:29:55.000+0200}, title = {A multi-view multi-dimensional ensemble learning approach to mining business process deviances.}, url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2016.html#CuzzocreaFGP16}, year = 2016 }