Topics on Data and Information Management: SBBD 2017 Short Courses

Authors

Vaninha Vieira (ed)
UFBA
Humberto L. Razente (ed)
UFU
Maria Camila N. Barioni (ed)
UFU

Keywords:

Databases, Social network analysis, Data Analytics, Sports Data Analytics, Deep Learning

Synopsis

This book addresses relevant database topics and promotes discussions on the fundamentals, trends, and challenges related to the topic addressed. Chapter 1 discusses visualization and processing techniques of data extracted from social networks, structured in a network form, especially considering the temporal perspective, and presents the practice of using these techniques through the analysis of three case studies with real data. Chapter 2 discusses prediction modeling and knowledge discovery techniques, and their influence on a specific domain: sports-related data. The chapter also discusses the role of predictability and randomness in sports. Chapter 3 describes the basics of deep learning, illustrates, by way of examples, how to implement deep networking and the key challenges in training such a network, and presents the theoretical foundations behind the use of deep modeling, and its limitations.

Chapters

  • 1. It’s a matter of time! Knowledge Discovery from Temporal Social Networks
    Fabíola S. F. Pereira, João Gama, Gina M. B. de Oliveira
    Chapter 1
  • 2. Data Analytics in Sports: Changing the game
    Igor Barbosa Costa, Carlos Eduardo Santos Pires, Leandro Marinho Balby
    Chapter 2
  • 3. How Deep Learning works
    Moacir Ponti, Gabriel B. Paranhos Costa
    Chapter 3

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Publication date

October 2, 2017

Series

Topics on Data and Information Management

Categories

Copyright (c) 2019 Brazilian Computing Society

Details about the available publication format: Full Volume

Full Volume

ISBN-13 (15)

978-85-7669-400-7