Large Dataset Analysis and Processing Techniques

Spring 2012

Student
Matthew Baron
Advisor
José Moura
Project description

This project is intended to investigate data analysis and processing techniques for large datasets. By representing data in a structured graph-like form, we attempt to perform information analysis inspired by traditional discrete signal processing methods, such as filtering, Fourier transforms, and frequency analysis. The objective of this project is to study open-access large datasets to identify efficient techniques for the extraction of relevant structural and characteristic information from available data, and evaluate the implementation and performance of these extraction techniques.

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