%0 Conference Paper %1 conf/fedcsis/Quinchia-LoboSS23 %A Quinchia-Lobo, Sebastian %A Salazar-Gonzalez, Daniela %A Salas-Álvarez, Daniel %A Baena-Navarro, Rubén %A Caicedo-Castro, Isaac %B FedCSIS (Position Papers) %D 2023 %E Ganzha, Maria %E Maciaszek, Leszek A. %E Paprzycki, Marcin %E Slezak, Dominik %K dblp %P 87-95 %T Analysis of the Public Health Service in Bogotá, Colombia: a Study Based on Customer's Complains and Using Unsupervised Learning Algorithms. %U http://dblp.uni-trier.de/db/conf/fedcsis/fedcsis2023p.html#Quinchia-LoboSS23 %V 36 %@ 978-83-969601-2-2

@inproceedings{conf/fedcsis/Quinchia-LoboSS23, added-at = {2023-10-18T00:00:00.000+0200}, author = {Quinchia-Lobo, Sebastian and Salazar-Gonzalez, Daniela and Salas-Álvarez, Daniel and Baena-Navarro, Rubén and Caicedo-Castro, Isaac}, biburl = {https://www.bibsonomy.org/bibtex/23327a47002699e8f871c98be6f5275b4/dblp}, booktitle = {FedCSIS (Position Papers)}, crossref = {conf/fedcsis/2023p}, editor = {Ganzha, Maria and Maciaszek, Leszek A. and Paprzycki, Marcin and Slezak, Dominik}, ee = {https://doi.org/10.15439/2023F8583}, interhash = {d5dd006a81babf7bb271f37502e0d953}, intrahash = {3327a47002699e8f871c98be6f5275b4}, isbn = {978-83-969601-2-2}, keywords = {dblp}, pages = {87-95}, series = {Annals of Computer Science and Information Systems}, timestamp = {2024-04-29T07:11:24.000+0200}, title = {Analysis of the Public Health Service in Bogotá, Colombia: a Study Based on Customer's Complains and Using Unsupervised Learning Algorithms.}, url = {http://dblp.uni-trier.de/db/conf/fedcsis/fedcsis2023p.html#Quinchia-LoboSS23}, volume = 36, year = 2023 }