Leonardo Schick, Priscilla de Abreu Lopes, Heloisa A. Camargo. Merging Clusters in Summary Structures for Data Stream Mining based on Fuzzy Similarity Measures. In Vilém Novák, Vladimír Marík, Martin Stepnicka, Mirko Navara, Petr Hurtík, editors, Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019, Prague, Czech Republic, September 9-13, 2019. Volume 1 of Atlantis Studies in Uncertainty Modelling, Atlantis Press, 2019. [doi]
@inproceedings{SchickLC19,
title = {Merging Clusters in Summary Structures for Data Stream Mining based on Fuzzy Similarity Measures},
author = {Leonardo Schick and Priscilla de Abreu Lopes and Heloisa A. Camargo},
year = {2019},
doi = {10.2991/eusflat-19.2019.111},
url = {https://doi.org/10.2991/eusflat-19.2019.111},
researchr = {https://researchr.org/publication/SchickLC19},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019, Prague, Czech Republic, September 9-13, 2019},
editor = {Vilém Novák and Vladimír Marík and Martin Stepnicka and Mirko Navara and Petr Hurtík},
volume = {1},
series = {Atlantis Studies in Uncertainty Modelling},
publisher = {Atlantis Press},
isbn = {978-94-6252-770-6},
}