University of São Paulo Engagement Goal
Develop Big Data processing and analysis expertise in the core areas of teaching and learning, research and extension activities.
We are proud to collaborate with the faculty team at the University of Sao Paulo who has been leveraging HPCC Systems to develop educational programs in support of Big Data industry demands. Main activities include undergraduate and graduate courses in Engineering programs and also research projects with special emphasis on Open Data, Machine Learning and, more recently, Natural Language Parsing.
New Academic Grant Awarded to University of Sao Paulo
We are proud to announce a new grant to the University of Sao Paulo (USP) to further research and collaboration in the area of supporting undergraduate courses and a machine learning project on cluster analysis with K-means.
Key Contact
Renato de Oliveira Moraes, Ph.D.
University of São Paulo Polytechnique School of Engineering
remo@usp.br
Presentations
Poster Presentation
Estimating the Number of Clusters for the K-means Algorithm in HPCC Systems
Poster Presentation
Big Data Process with ETL: Mapping Brazilian Companies to Offer Life Insurance
Poster Presentation
Feelings Detection in Social Media Posts
Poster Presentation
Massive Data Analysis Applied to the Identification of Inconsistencies in Governmental Databases
Poster Presentation
Big Data and Logistic Regression Applied to Analysis of Loan Requests
Presentation
University of São Paulo and LexisNexis Risk Solutions Collaboration
Poster Presentation
Preventing Fraud by Registration Inconsistencies
Poster Presentation
Big Data and Logistic Regression Applied to Analysis of Loan Requests
Presentation
Luiz Fernando Cavalcante Silva’s Presentation at ENEGEP 2021 (in Brazilian Portuguese)
Presentation
Andre Fontanez Bravo’s Presentation at XXVIII SIMPEP (in Brazilian Portuguese)
Blogs
Blog
Academic Collaboration Successes in Brazil
Blog
2021 Poster Contest – Bruno Carniero Camara
Blog
2021 Poster Contest – André Fontanez Bravo