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Transforming muldimensional data using information visualization techniques

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Author(s):
Francisco Morgani Fatore
Total Authors: 1
Document type: Master's Dissertation
Press: São Carlos.
Institution: Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB)
Defense date:
Examining board members:
Fernando Vieira Paulovich; João Luiz Dihl Comba; Maria Cristina Ferreira de Oliveira
Advisor: Fernando Vieira Paulovich
Abstract

The exploration of datasets is a frequently task in several fields and aims at a better understanding of simulated or measured phenomena. Such activity is preceded by the steps of collecting and storing data, which seek to record as much detail possible about an observed phenomenon. The exploration task is challenging due to many aspects. One of them is the difficulty in identifying which collected data are actually relevant to the analysis. Another one is related to the lack of guarantees that the key factors for understanding the problem have been collected. The interactive transformation of data is a visual based approach that seeks to solve or mitigate these problems. However, the available methods in the literature have limitations in several aspects, such as complex user interfaces and inflexible interactive mechanisms. So, this master project had the goal to develop novel visual techniques for the transformation of datasets. The proposed methodology was based on the use of biplots and interaction mechanisms to overcome the limitations of the state of the art techniques. Empirical results show that by using the proposed approach, it is possible to make the data more representative. Therefore, exploratory activities, classifications, were performed more efficiently and thus provided better results. (AU)

FAPESP's process: 13/14650-7 - Transforming Multidimensional Data Using Information Visualization Techniques
Grantee:Francisco Morgani Fatore
Support Opportunities: Scholarships in Brazil - Master