%0 Conference Paper %1 conf/geoinfo/OliveiraRMS22 %A de Oliveira, Sávio Salvarino Teles %A do Sacramento Rodrigues, Vagner J. %A Martins, Wellington S. %A da Silva Soares, Anderson %B GEOINFO %D 2022 %E Santos, Leonardo Bacelar Lima %E de Arruda Pereira, Marconi %I MCTIC/INPE %K dblp %P 39-50 %T A new big data architecture for efficient processing of spatiotemporal data using Machine Learning. %U http://dblp.uni-trier.de/db/conf/geoinfo/geoinfo2022.html#OliveiraRMS22

@inproceedings{conf/geoinfo/OliveiraRMS22, added-at = {2023-01-04T00:00:00.000+0100}, author = {de Oliveira, Sávio Salvarino Teles and do Sacramento Rodrigues, Vagner J. and Martins, Wellington S. and da Silva Soares, Anderson}, biburl = {https://www.bibsonomy.org/bibtex/299a9771419d661f862ef97b7e0d372af/dblp}, booktitle = {GEOINFO}, crossref = {conf/geoinfo/2022}, editor = {Santos, Leonardo Bacelar Lima and de Arruda Pereira, Marconi}, ee = {http://urlib.net/ibi/8JMKD3MGPDW34P/487M24S}, interhash = {776c5840656d4b2abf9853458c4c17b6}, intrahash = {99a9771419d661f862ef97b7e0d372af}, keywords = {dblp}, pages = {39-50}, publisher = {MCTIC/INPE}, timestamp = {2024-07-15T07:12:03.000+0200}, title = {A new big data architecture for efficient processing of spatiotemporal data using Machine Learning.}, url = {http://dblp.uni-trier.de/db/conf/geoinfo/geoinfo2022.html#OliveiraRMS22}, year = 2022 }