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Publication search results
found 14 matches
- 2018
- Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez:
Computation of PDFs on Big Spatial Data: Problem & Architecture. LADaS@VLDB 2018: 80-83 - Mirian Halfeld Ferrari Alves, Carmem S. Hara, Nádia P. Kozievitch, Flávio R. Uber:
Urban Data Consistency in RDF: A Case Study of Curitiba Transportation System. LADaS@VLDB 2018: 33-40 - Yuri Bichibichi, Nádia P. Kozievitch, Ricardo Dutra da Silva, Artur Ziviani:
Business Activity Clustering: A Use Case in Curitiba. LADaS@VLDB 2018: 41-48 - Eduardo Camilo Inacio, Mário Antônio Ribeiro Dantas:
An I/O Performance Evaluation Tool for Distributed Data-Intensive Scientific Applications. LADaS@VLDB 2018: 9-16 - Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo:
A Comparative Study on Streaming Frameworks for Big Data. LADaS@VLDB 2018: 17-24 - Helder Yukio Okuno, Flavio Carvalho, Gustavo Paiva Guedes, Marcelle Torres Alves Okuno:
ATAnalysis - Toward a Psycholinguistic Method to Analyze Video Textual Information. LADaS@VLDB 2018: 73-79 - Luciano Urgal Pando, Ricardo Lüders, Keiko Verônica Ono Fonseca, Marcelo de Oliveira Rosa:
Influence of Virtual Road Traffic Sensors of Oporto for Origin-Destination Matrix Estimation. LADaS@VLDB 2018: 49-56 - Johyn Papin, Frédéric Andrès, Laurent d'Orazio:
A Method to Build a Geolocalized Food Price Time Series Knowledge Base Analyzable by Everyone. LADaS@VLDB 2018: 88-91 - Robespierre Pita, Luan Menezes, Marcos E. Barreto:
Applying Term Frequency-Based Indexing to Improve Scalability and Accuracy of Probabilistic Data Linkage. LADaS@VLDB 2018: 65-72 - Ticiana L. Coelho da Silva, Regis Pires Magalhães, Igo Ramalho Brilhante, José A. F. de Macêdo, David Araújo, Paulo A. L. Rego, Aloisio Vieira Lira Neto:
Big Data Analytics Technologies and Platforms: A Brief Review. LADaS@VLDB 2018: 25-32 - Renan Souza, Liliane Neves, Leonardo Azevedo, Ricardo Luiz, Elaine Tady, Paulo R. Cavalin, Marta Mattoso:
Towards a Human-in-the-Loop Library for Tracking Hyperparameter Tuning in Deep Learning Development. LADaS@VLDB 2018: 84-87 - Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva, Vítor Silva, Renan Souza, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Dennis E. Shasha:
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB 2018: 1-8 - Klaus Wehmuth, Bernardo Costa, João Victor Bechara, Artur Ziviani:
A Multilayer and Time-Varying Structural Analysis of the Brazilian Air Transportation Network. LADaS@VLDB 2018: 57-64 - Artur Ziviani, Carmem S. Hara, Eduardo S. Ogasawara, José Antônio Fernandes de Macêdo, Patrick Valduriez:
Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), Rio de Janeiro, Brazil, Aug 27, 2018. CEUR Workshop Proceedings 2170, CEUR-WS.org 2018 [contents]
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