Exploratory data analysis for multilabel data

• Grant number: 11/21745-9
• Support type: Scholarships in Brazil - Scientific Initiation
• Effective date (Start): March 01, 2012
• Effective date (End): March 31, 2014
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Maria Carolina Monard
• Grantee: Victor Augusto Moraes Carvalho
• Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

The aim of this project is to develop methods and tools for exploratory multi-label data analysis. Using these developed methods, we intend to identify the most relevant characteristics of multi-label data and their influence on existing multi-label classification methods. Visualization tools, as well as several complexity measures of multi-label data, will be implemented in a framework to facilitate exploratory data analysis,