Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ademir Cristiano Gabardo"'
Autor:
Ademir Cristiano Gabardo, Martín Pérez
Publikováno v:
Revista Brasileira de Contabilidade e Gestão, Vol 2, Iss 4 (2013)
Este artigo apresenta um comparativo entre duas técnicas para aprendizado de máquina baseadas em conceitos de inteligência artificial, utilizando Redes Neurais e controladores Fuzzy para classificar dados provenientes de pacientes submetidas à ci
Externí odkaz:
https://doaj.org/article/ee78eabe172541bb80f529d5e1e454a5
Publikováno v:
Memetic Computing. 12:87-99
Graphs and networks are a useful abstraction to represent a wide range of systems. Sets of nodes that are more highly interconnected constitute a ‘community’. Community detection algorithms help to reveal a decomposition of a network in modules.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94d1e085be111c876df7f1b6405030ed
https://doi.org/10.1007/s12293-020-00300-x
https://doi.org/10.1007/s12293-020-00300-x
Autor:
Brenda Cinthya Solari Berno, Matheus Gutoski, Andrei de Souza Inácio, Leandro Takeshi Hattori, Ademir Cristiano Gabardo, Heitor Silvério Lopes
Publikováno v:
LA-CCI
Co-purchase analysis is becoming an essential task for e-commerce businesses as it enables to predict new purchases and understand customer behavior. In this paper, we propose a novel framework to analyze books sales from co-purchase and visual data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1ae339b3f996bcf22b7c94d52e90e70
https://doi.org/10.1109/la-cci47412.2019.9037060
https://doi.org/10.1109/la-cci47412.2019.9037060
Publikováno v:
Business and Consumer Analytics: New Ideas ISBN: 9783030062217
Business and Consumer Analytics: New Ideas
Business and Consumer Analytics: New Ideas
Simple undirected graphs can be employed to represent numerous complex systems including those arising in social networks, biological networks, communication networks, transportation routes and several others. An important feature of complex networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e622b20c7d681716d7e1f30102c4000
https://doi.org/10.1007/978-3-030-06222-4_9
https://doi.org/10.1007/978-3-030-06222-4_9
Publikováno v:
Proceedings in Adaptation, Learning and Optimization ISBN: 9783319490489
In this paper, we present a new Memetic Algorithm for overlapping community detection. We use a link-based clustering approach to detect the communities of edges in complex networks. To assess the quality of our method, we present experimental result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee37b10deb2e291b50d015e19b34e9ce
https://doi.org/10.1007/978-3-319-49049-6_10
https://doi.org/10.1007/978-3-319-49049-6_10
Publikováno v:
ENIC
In recent years, the study of complex networks has attracted great attention. Several fields of science have used techniques of social network analysis and complex networks to represent a wide range of structures such as, social networks, political i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db8f52757b3e14524308c0a85c45c798
https://doi.org/10.1109/enic.2014.11
https://doi.org/10.1109/enic.2014.11
Publikováno v:
Encyclopedia of Information Science and Technology, Third Edition ISBN: 9781466658882
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e27816498879ebad102d026a2ca2499
https://doi.org/10.4018/978-1-4666-5888-2.ch344
https://doi.org/10.4018/978-1-4666-5888-2.ch344