Applying machine learning to information visualization

• Grant number: 14/13010-7
• Support Opportunities: Scholarships in Brazil - Master
• Start date: October 01, 2014
• End date: February 29, 2016
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal Investigator: Fernando Vieira Paulovich
• Grantee: Samuel Gomes Fadel
• 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
• Associated scholarship(s): 15/19851-6 - Controlling the effects of user manipulation on multidimensional projections, BE.EP.MS

Abstract

The analysis of large amounts of complex data demands tools that facilitate knowledge extraction. Tools that provide visual representations of such data are highly attractive due to their simple and intuitive exploration and analysis mechanisms. User interaction with those visual representations is a central feature of such tools. Among existing techniques, sampling-based multidimensional projections have attracted great interest by enabling user knowledge incorporation into the creation of visual representations through interaction mechanisms with data samples. This kind of interaction could be modeled as a machine learning process. Despite recent work towards incorporating user knowledge in interactive visualizations, there are still limitations such as excessive user effort necessary to obtain satisfactory results and the lack of control over the transformations applied on the data being analyzed. This is the main objective of this master's project: model user interaction into a representation that could be used to create better visualizations, attempting to formalize current work as a learning proccess, understanding and defining the limits of such interaction. (AU)

Academic Publications

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

FADEL, Samuel Gomes. Understanding interactive multidimensional projections. 2016. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.