Table of Contents

Technical Session 1

• Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project (invited paper) 1-8
  Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, Jose Camata, Alvaro Coutinho, Daniel Gaspar, Noel Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabricio Nogueira Da Silva, Vitor Silva, Renan Souza, Kary Ocana, Eduardo Ogasawara, Daniel de Oliveira, Esther Pacitti, Fabio Porto, Dennis Shasha
• An I/O Performance Evaluation Tool for Distributed Data-Intensive Scientific Applications 9-16
  Eduardo Camilo Inacio, Mario Antonio Ribeiro Dantas
• A Comparative Study on Streaming Frameworks for Big Data 17-24
  Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
• Big Data Analytics Technologies and Platforms: A Brief Review 25-32
  Ticiana Coelho Da Silva, Regis Pires, Igo Ramalho Brilhante, Jose Macedo, David Araujo, Paulo Rego, Aloisio Vieira Lira Neto

Technical Session 2

• Urban Data Consistency in RDF: A Case Study of Curitiba Transportation System 33-40
  Mirian Halfeld Ferrari, Carmem Hara, Nadia Kozievitch, Flavio Uber
• Business Activity Clustering: A Use Case in Curitiba 41-48
  Yuri Bichibichi, Nadia Kozievitch, Ricardo Dutra, Artur Ziviani
• Influence of Virtual Road Traffic Sensors of Oporto for Origin-Destination Matrix Estimation 49-56
  Luciano Urgal Pando, Ricardo Luders, Keiko Veronica Ono Fonseca, Marcelo de Oliveira Rosa
• A Multilayer and Time-Varying Structural Analysis of the Brazilian Air Transportation Network 57-64
  Klaus Wehmuth, Bernardo Costa, Joao Victor Bechara, Artur Ziviani

Technical Session 3

• Applying Term Frequency-Based Indexing to Improve Scalability and Accuracy of Probabilistic Data Linkage 65-72
  Robespierre Pita, Luan Menezes, Marcos Barreto
• ATAnalysis – Toward a Psycholinguistic Method to Analyze Video Textual Information 73-79
  Helder Yukio Okuno, Flavio Carvalho, Gustavo Paiva Guedes, Marcelle Torres Alves Okuno
• Computation of PDFs on Big Spatial Data: Problem & Architecture 80-83
  Ji Liu, Noel M. Lemus, Esther Pacitti, Fabio Porto, Patrick Valduriez
• Towards a Human-in-the-Loop Library for Tracking Hyperparameter Tuning in Deep Learning Development 84-87
  Renan Souza, Liliane Neves, Leonardo Azeredo, Ricardo Luiz, Elaine Tady, Paulo Cavalin, Marta Mattoso
• A Method to Build a Geolocalized Food Price Time Series Knowledge Base Analyzable by Everyone 88-91
  Johyn Papin, Frederic Andres, Laurent D’Orazio