Zobrazeno 1 - 10
of 15
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
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
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
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
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
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
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
Autor:
Thiago Pereira da Nóbrega, Carlos Eduardo Santos Pires, Tiago Brasileiro Araújo, Demetrio Gomes Mestre
Publikováno v:
SAC
In many scenarios, it is necessary to identify records referring to the same real-world object across different data sources (Record Linkage). Yet, such need is often in contrast with privacy requirements concerning (e.g., identify patients with the
Autor:
Tiago Brasileiro Araújo, Nádia P. Kozievitch, Carlos Eduardo Santos Pires, Cinzia Cappiello, Demetrio Gomes Mestre, Monica Vitali
Publikováno v:
IDEAS
Proceedings of the 21st International Database Engineering & Applications Symposium on-IDEAS 2017
Proceedings of the 21st International Database Engineering & Applications Symposium on -IDEAS 2017
Proceedings of the 21st International Database Engineering & Applications Symposium on-IDEAS 2017
Proceedings of the 21st International Database Engineering & Applications Symposium on -IDEAS 2017
As cities are becoming green and smart, public information systems are being revamped to adopt digital technologies. There are several sources (official or not) that can provide information related to a city. The availability of multiple sources enab