Wavelet-based analysis of time-varying data on graphs

• Grant number: 16/10532-8
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: July 29, 2016
• End date: July 28, 2017
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Marcio Fuzeto Gameiro
• Grantee: Paola Tatiana Llerena Valdivia
• Supervisor: Jean-Daniel Fekete
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Institution abroad: Université Paris-Sud (Paris 11), France
• Associated to the scholarship: 13/14089-3 - Multi-scale Visual Analysis Applied to Multidimensional Biological Data, BP.DR

Abstract

The objective of this project is to develop new visual metaphors to explore the evolution of patterns in time-varying data using graph wavelets theory. Initial results from doctoral project have demonstrated the potential of graph wavelets (Valdivia, 2015) as a tool to assist visual analytics applications focused on the detection of variations and patterns on data. During the internship we will further explore graph wavelet theory towards developing innovative visual analytics tools able to uncover patterns and anomalies hidden in time-varying data.For this purpose, we will work in collaboration with researchers from the AVIZ INRIA research team at University Paris-Sud, under the supervision of Professor Jean-Daniel Fekete.