ABOUT ANALYTICS

The Massive Data Analysis Laboratory (ANALYTICS) has as its main mission to conduct high quality research on data analysis, in particular for large volumes of data, coming from different sources, have different formats and generated in streams. The research projects carried out by the ANALYTICS laboratory cover the large area of Data Science.

The ANALYTICS laboratory works with pre-processing data, descriptive data analysis and predictive data analysis. Researchers from the ANALYTICS laboratory supervised and are supervising la large number of Postgraduate students. Alumni from the laboratory have worked in Universities and Research Centers in Brazil and abroad and in data-oriented companies, like Apple, Dow, Google and Microsoft.

The laboratory has a large network of international and national scientific collaborations. Several students from the laboratory performed or perform part of their research in institutions abroad. Researchers from the laboratory are part of various national and international conference program committees in the area of data science and have provided advice to companies.

Researches performed in the ANALYTICS laboratory have been awarded in several events, national and international.

MAIN RESEARCH AREAS

Machine learning
Data science
Data streams
Data mining
Data pre-processing
Data quality
Complex networks
Dinamic systems

OTHER RESEARCHERS

Post doctorates
PhD students
MSc students

Students supervised by Ph.D. André Ponce de Leon F. de Carvalho

NATIONAL AND INTERNATIONAL COLLABORATORS

RECENT RESEARCH PROJETCS

Data Stream Analysis using Machine Learning

General coordinator: André de Carvalho Funding agency: CNPq/CONICET - Processo 490482/2010-4 Validity:…

Advanced Machine Learning

General coordinator: André de Carvalho Funding agency: FAPESP - IBM Validity: 03/2017…

Center for Mathematical Sciences Applied do Industry – CEPID-CeMEAI

General coordinator: José Alberto Cuminato Pesquisadores: André C P L F de…

Data Mining Challenges

General coordinator: André de Carvalho Funding agency: CNPq - Processo 478377/2012-6 Validity:…

MAP: Machine Learning: A multiple strategies approach

General coordinator: André de Carvalho Funding agency: CAPES-COFECUB Validity: 01/2016- 12/2019

Meta-learning applied to gene expression data classification

1st validity General coordinator: André de Carvalho Funding agency: CNPq - Processo…

Marchine Learning for Data Analysis Research Center (NAP-AMDA)

General coordinator: André de Carvalho Funding agency: USP Validity: 11/2012- 11/2019

Excellence network in Machine Learning (PRONEX-FACEPE)

General coordinator: Teresa Ludermir Local coordinator: André de Carvalho Funding agency: FACEPE-CNPq…

FUNDING