• Apresentação
  • Linhas de Pesquisa
  • Teses e Dissertações
  • Corpo Docente
Principal
  • Home
  • Apresentação
  • Regimento Interno e Normas
  • Corpo Docente
  • Teses e Dissertações
  • Linhas de Pesquisa
  • Grupos de Pesquisa
  • Notícias
  • Infraestrutura
  • Contatos
Processo Seletivo
  • Inscrições
  • Informações Gerais
  • Editais e Portarias
  • Áreas e Sub-Áreas
  • Calendário
  • Resultados
Alunos
  • Oferta de Disciplinas
  • Integralização Curricular
  • Normas de Exame de Qualificação
  • Normalização de Trabalhos Acadêmicos
Home Notícias Defesa de Proposta de Tese: Antonio José Melo Leite Júnior

Defesa de Proposta de Tese: Antonio José Melo Leite Júnior

Qua, 07 de Agosto de 2019 00:00 | Escrito por Secretaria MDCC | PDF | Imprimir | E-mail

Título: An Approach for Discovering Probable Movement Patterns and Behaviors of People through Visual Analysis of Predictive Suffix Trees

Data: 09/08/2019

Horário: 10:00h

Local: Sala de Seminários - Bloco 952

Resumo:

Predictive Suffix Trees (PSTs) are data structures capable of simultaneously represent space, time, and probability used to predict when a person would leave her current position to move to a new probable location. Although they are usually complex to read, they can help crime investigation; management road traffic; or location-based advertising, for example. This work proposes the application of visual analytics to simplify the task of finding movement patterns and possible behaviors of a person, through the use of data stored in PSTs. For that, we introduce an approach that applies sensemaking and branching time to provide a less abstract character to PSTs, allowing analysts to explore the dynamics of space-time combinations (space, time and space versus time relations) considering probabilities. To validate the proposed solution, we developed a visualization tool and performed two distinct user studies, with a total of 77 participants and two different datasets. The obtained results demonstrated the feasibility of applying the solution, allowing analysts to solve initial problems, but letting they propose their own questions to find other answers to the problem.

Banca:

  • Prof. Dr. Creto Augusto Vidal (MDCC/UFC - Orientador)
  • Profª. Drª. Emanuele Marques dos Santos (MDCC/UFC)
  • Prof. Dr. José Antonio Fernandes Macedo (MDCC/UFC)
  • Prof. Dr. Natal Anacleto Chicca Júnior (UFC)
 

Copyright © 2010-2011 MDCC-UFC.
All Rights Reserved.

Designed by Joomla Desk.