Dissertação de Fabian Ernesto Colque Zegarra

Aluno: Fabian Ernesto Colque Zegarra
Orientador: Prof. Dr. João Luiz Dihl Comba

Título: VUGA: A Visual User Group Analytics System for User Data
Linha de Pesquisa: Mineração, Integração e Análise de Dados.

Data: 25/02/2019
Hora: 10h
Local: Sala 215 (sala de videoconferência), do prédio 43412 do Instituto de Informática da UFRGS

Banca Examinadora:
Profª. Drª. Carla Maria Dal Sasso Freitas (UFRGS)
Profª. Drª. Emanuele Marques dos Santos (UFC – por videoconferência)
Profª. Drª. Renata de Matos Galante (UFRGS)

Presidente da Banca: Prof. Dr. João Luiz Dihl Comba

Abstract: Along with the constant growth in the size of user data, the need to understand the behavior of user groups increases. This fact is known as User Group Analitycs (UGA). UGA is used to give support in making the best decisions quickly and with greater credibility.In addition to addressing certain peculiarities such as noise and the dispersion of data,UGA is helping the scientific community to carry out studies and experiments on large-scale population. However, it also helps ordinary users to make more routine decisionseither with people who think in a similar way as well as in a different way. The ability to explore and compare information of interest is within the core of UGA. While there are already automated systems that can identify and suggest potentially interesting groups, there is a need to filter results and improve the parameters as a user explores the data needs to provide a visual interface finally. Consequently, the combination of a visual andanalytical interface with an opportunity for reevaluation filters and feedbacks are knownas Visual Analytics (VA). In the present work, we describe VUGA, a VA system that ex-plores groups of user data to improve approaches based only on automated procedures.

Keywords: Processing Visual Analytics. Visualization Information. Exploration and Discovering of Groups.