Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Guilherme Weigert Cassales"'
Autor:
Albert Bifet, Hermes Senger, Guilherme Weigert Cassales, Heitor Murilo Gomes, Bernhard Pfahringer
Often, machine learning applications have to cope with dynamic environments where data are collected in the form of continuous data streams with potentially infinite length and transient behavior. Compared to traditional (batch) data mining, stream p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b98e12e1268eb38b8951bd787c0e97fd
http://arxiv.org/abs/2112.09834
http://arxiv.org/abs/2112.09834
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030869694
ICCSA (3)
ICCSA (3)
The ongoing implementation of the Internet of Things (IoT) is sharply increasing the number and variety of small devices on edge networks. Likewise, the attack opportunities for hostile agents also increases, requiring more effort from network admini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4289d14fa48a8c005b00632ae0a9d78
https://doi.org/10.1007/978-3-030-86970-0_33
https://doi.org/10.1007/978-3-030-86970-0_33
Autor:
Heitor Murilo Gomes, Guilherme Weigert Cassales, Albert Bifet, Hermes Senger, Bernhard Pfahringer
Publikováno v:
HPCC/DSS/SmartCity
Machine Learning techniques have been employed in virtually all domains in the past few years. New applications demand the ability to cope with dynamic environments like data streams with transient behavior. Such environments present new requirements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d88e3888a629dd5cff045041ff8f55f1
https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00018
https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00018
Publikováno v:
ISCC
The Internet of Things (IoT) allows large amounts and variety of devices to connect, interact and exchange data. The IoT network creates numerous opportunities for novel attacks that can compromise information and systems integrity. Intrusion detecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fe4d68db06cc7662295b2454050b529
https://doi.org/10.1109/iscc47284.2019.8969609
https://doi.org/10.1109/iscc47284.2019.8969609
Autor:
Andrea Schwertner Charão, Luiz Angelo Steffenel, Manuele Kirsch-Pinheiro, Guilherme Weigert Cassales, Carine Souveyet
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing, Springer, 2016, 7 (3), pp.333-345. ⟨10.1007/s12652-016-0361-8⟩
Journal of Ambient Intelligence and Humanized Computing, Springer, 2016, 7 (3), pp.333-345. ⟨10.1007/s12652-016-0361-8⟩
This article proposes to improve Apache Hadoop scheduling through a context-aware approach. Apache Hadoop is the most popular implementation of the MapReduce paradigm for distributed computing, but its design does not adapt automatically to computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d5df26960f9d5c742fc3f661e282a00
https://doi.org/10.1007/s12652-016-0361-8
https://doi.org/10.1007/s12652-016-0361-8
Autor:
Andrea Schwertner Charão, Patricia Pitthan Barcelos, Guilherme Weigert Cassales, Luiz Angelo Steffenel, Sergio Nesmachnow, Benhur de Oliveira Stein, Carine Souveyet, Manuele Kirsch-Pinheiro, Matias Cogorno, Olivier Flauzac, Javier Rey
Publikováno v:
Journal of Computer Science
Journal of Computer Science, Science Publications, 2014, 10 (11), pp.2194-2210. ⟨10.3844/jcssp.2014.2194.2210⟩
Journal of Computer Science, Science Publications, 2014, 10 (11), pp.2194-2210. ⟨10.3844/jcssp.2014.2194.2210⟩
International audience; This study presents the advances on designing and implementing scalable techniques to support the development and execution of MapReduce application in pervasive distributed computing infrastructures, in the context of the PER
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dea089408a383ae3dab106a4f152b8c
https://hal-paris1.archives-ouvertes.fr/hal-01085287
https://hal-paris1.archives-ouvertes.fr/hal-01085287