Transforming Multidimensional Data Using Information Visualization Techniques

• Grant number: 13/14650-7
• Support Opportunities: Scholarships in Brazil - Master
• Start date: October 01, 2013
• End date: December 31, 2014
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Fernando Vieira Paulovich
• Grantee: Francisco Morgani Fatore
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 11/22749-8 - Challenges in exploratory visualization of multidimensional data: paradigms, scalability and applications, AP.TEM

Abstract

The exploration of data sets is a frequently discussed issue in computing and aims at a better understanding of simulated or measured phenomena. The steps of collecting and storing the data, which seek to record as much detail about the observed phenomenon, precede such activity. 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, the goal of this master's project is to develop novel visual techniques for the transformation of data sets. The proposed methodology is based on the use of biplots and interaction mechanisms to overcome the limitations of state of the art techniques. We believe that by using the proposed approach the users will be able to make the data more representative. Therefore, exploratory activities may be performed more efficiently and return better results.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DUARTE, FELIPE S. L. G.; SIKANSI, FABIO; FATORE, FRANCISCO M.; FADEL, SAMUEL G.; PAULOVICH, FERNANDO V.. Nmap: A Novel Neighborhood Preservation Space-filling Algorithm. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v. 20, n. 12, p. 2063-2071, DEC 2014. (11/22749-8, 12/21022-0, 13/14650-7)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

FATORE, Francisco Morgani. Transforming muldimensional data using information visualization techniques. 2015. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.