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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,