%0 Conference Paper %1 conf/bigdataservice/KaklisEGSVV22 %A Kaklis, Dimitrios %A Eirinakis, Pavlos %A Giannakopoulos, George %A Spyropoulos, Constantine D. %A Varelas, Takis J. %A Varlamis, Iraklis %B BigDataService %D 2022 %I IEEE %K dblp %P 39-47 %T A big data approach for Fuel Oil Consumption estimation in the maritime industry. %U http://dblp.uni-trier.de/db/conf/bigdataservice/bigdataservice2022.html#KaklisEGSVV22 %@ 978-1-6654-5890-0

@inproceedings{conf/bigdataservice/KaklisEGSVV22, added-at = {2022-10-06T00:00:00.000+0200}, author = {Kaklis, Dimitrios and Eirinakis, Pavlos and Giannakopoulos, George and Spyropoulos, Constantine D. and Varelas, Takis J. and Varlamis, Iraklis}, biburl = {https://www.bibsonomy.org/bibtex/2426799b4d9f63bba5bf8dfed87d1fd7a/dblp}, booktitle = {BigDataService}, crossref = {conf/bigdataservice/2022}, ee = {https://doi.org/10.1109/BigDataService55688.2022.00014}, interhash = {89d78578e0c6587bacaea3985211c166}, intrahash = {426799b4d9f63bba5bf8dfed87d1fd7a}, isbn = {978-1-6654-5890-0}, keywords = {dblp}, pages = {39-47}, publisher = {IEEE}, timestamp = {2024-04-09T14:06:26.000+0200}, title = {A big data approach for Fuel Oil Consumption estimation in the maritime industry.}, url = {http://dblp.uni-trier.de/db/conf/bigdataservice/bigdataservice2022.html#KaklisEGSVV22}, year = 2022 }