Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Demetrio Gomes Mestre"'
Autor:
Sandro Fiore, Donatello Elia, Carlos Eduardo Pires, Demetrio Gomes Mestre, Cinzia Cappiello, Monica Vitali, Nazareno Andrade, Tarciso Braz, Daniele Lezzi, Regina Moraes, Tania Basso, Nadia P. Kozievitch, Keiko Veronica Ono Fonseca, Nuno Antunes, Marco Vieira, Cosimo Palazzo, Ignacio Blanquer, Wagner Meira, Giovanni Aloisio
Publikováno v:
IEEE Access, Vol 7, Pp 117652-117677 (2019)
Smart urban transportation management can be considered as a multifaceted big data challenge. It strongly relies on the information collected into multiple, widespread, and heterogeneous data sources as well as on the ability to extract actionable in
Externí odkaz:
https://doaj.org/article/c982c03f616d49d5abd77a4dc73917f0
Autor:
Carlos Eduardo Santos Pires, Tiago Brasileiro Araújo, Demetrio Gomes Mestre, Dimas Cassimiro do Nascimento
Publikováno v:
Journal of Parallel and Distributed Computing. 143:97-106
Record Linkage (RL) is the task of identifying duplicate entities in a dataset or multiple datasets. In the era of Big Data, this task has gained notorious attention due to the intrinsic quadratic complexity of the problem in relation to the size of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c599bc320b6e7bacdc8c52b08bbbd62
https://doi.org/10.1016/j.jpdc.2020.05.003
https://doi.org/10.1016/j.jpdc.2020.05.003
Publikováno v:
Knowledge and Information Systems. 62:359-400
The problem of identifying duplicated entities in a dataset has gained increasing importance during the last decades. Due to the large size of the datasets, this problem can be very costly to be solved due to its intrinsic quadratic complexity. Both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d004dd212003c3a54430cde2a783b04
https://doi.org/10.1007/s10115-019-01347-0
https://doi.org/10.1007/s10115-019-01347-0
Autor:
Andreza Raquel Monteiro de Queiroz, Demetrio Gomes Mestre, Matheus Maciel, Tarciso Braz, Nazareno Andrade, Carlos Eduardo Santos Pires, Veruska Borges Santos
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 19:3630-3641
The availability of historical data on the global positioning systems’ trajectories of vehicles and passenger boarding information for public bus fleets of large municipalities has given researchers and practitioners the opportunity to explore new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a2c2b589a86c50d3ecf4f760205cc1d
https://doi.org/10.1109/tits.2018.2846036
https://doi.org/10.1109/tits.2018.2846036
Publikováno v:
Journal of Systems and Software. 137:335-354
Record Linkage is the task of processing a dataset in order to identify which records refer to the same real world entity. The intrinsic complexity of this task brings many challenges to traditional or naive approaches, especially in contexts such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64011adca755d71ac0095935be147ae5
https://doi.org/10.1016/j.jss.2017.11.074
https://doi.org/10.1016/j.jss.2017.11.074
Publikováno v:
Journal of Parallel and Distributed Computing
Modern parallel computing programming models, such as MapReduce (MR), have proven to be powerful tools for efficient parallel execution of data-intensive tasks such as Entity Matching (EM) in the era of Big Data. For this reason, studies about challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::900d2ec00e64c586c7eaa98e09cec9ac
https://doi.org/10.1016/j.jpdc.2016.11.002
https://doi.org/10.1016/j.jpdc.2016.11.002
Autor:
Andreza Raquel Monteiro de Queiroz, Tiago Brasileiro Araújo, Thiago Pereira da Nóbrega, Demetrio Gomes Mestre, Veruska Borges Santos, Carlos Eduardo Santos Pires
Publikováno v:
SBBD
In the Smart Cities scenario, to avoid the conflicting geospatial records between official and non-official sources, it is necessary to detect the inconsistencies regarding the geospatial data provided by them. To this end, the map matching task, i.e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f591e7d10ea5335e92f62575535db8e
https://doi.org/10.5753/sbbd.2019.8813
https://doi.org/10.5753/sbbd.2019.8813
Autor:
Demetrio Gomes Mestre, Thiago Pereira da Nóbrega, Tiago Brasileiro Araújo, Carlos Eduardo Santos Pires, Kostas Stefanidis, Dimas Cassimiro do Nascimento
Publikováno v:
SAC
The increasing use of Web systems has become a valuable source of semi-structured data. In this context, the Entity Resolution (ER) task emerges as a fundamental step to integrate multiple knowledge bases or identify similarities between the data ite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb619bc80240e2c7b14be673b90c8dd3
https://doi.org/10.1145/3297280.3299730
https://doi.org/10.1145/3297280.3299730
Autor:
Dorgival Guedes, Sandro Fiore, Rosa M. Badia, Nazareno Andrade, Nádia P. Kozievitch, Walter Abrahão dos Santos, Tarciso Braz, Giovanni Aloisio, Paulo Silva, Marco Vieira, Danilo Ardagna, Fábio Morais, Nuno Antunes, Jussara M. Almeida, Daniele Lezzi, Demetrio Gomes Mestre, Andy S. Alic, Wagner Meira, Tânia Basso, Carlos Eduardo Santos Pires, Ignacio Blanquer, Matheus Maciel, Regina Moraes, Donatello Elia, Andrey Brito, Marco Lattuada
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Analysis of public transportation data in large cities is a challenging problem. Managing data ingestion, data storage, data quality enhancement, modelling and analysis requires intensive computing and a non-trivial amount of resources. In EUBra-BIGS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e56e04f1341c04cb5d84be863336fe6
http://hdl.handle.net/10261/197440
http://hdl.handle.net/10261/197440
Publikováno v:
Applied Intelligence. 45:530-548
Deduplication is the task of identifying the entities in a data set which refer to the same real world object. Over the last decades, this problem has been largely investigated and many techniques have been proposed to improve the efficiency and effe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c748ffb6de3c3fa61b4972a9b752f4b9
https://doi.org/10.1007/s10489-016-0774-2
https://doi.org/10.1007/s10489-016-0774-2