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Brazilian Summer School on Machine Learning and Knowledge Discovery in Databases (MLKDD)


The summer school will provide short courses in current research issues in machine learning and data mining from leading researchers. Register early - enrollment is limited!



Brazilian School on Machine Learning and Knowledge Discovery in Databases (MLKDD)Summer School on Machine Learning

and Knowledge Discovery in Databases (MLKDD)
July 14-17, 2013, Sao Carlos, SP, Brazil

www.amda.icmc.usp.br/mlkdd2013/

mlkddschool@gmail.com

** Registration is open via the school website. We highly encourage early registration, as enrollment is limited to a restricted number of participants. **

MLKDD School will be held concurrently with the first Symposium on Knowledge Discovery, Mining and Learning (KDMiLe)

kdmile.linkedej.com.br

The Second School on Machine Learning and Knowledge Discovery in Databases (II MLKDD) aims to cultivate skilled professionals in these areas by providing short courses from world-class specialists. The MLKDD will occur in Sao Carlos, SP, July 14-17 and will provide short courses in current research issues in machine learning and data mining. It will be held concurrently with the first Symposium on Knowledge Discovery, Mining and Learning (KDMiLe).

The II MLKDD School will offer short courses taught by well-known international researchers from the areas of machine learning and data mining:

  • Carlos Soares, Universidade do Porto, Portugal
  • Jesse Read, Universidad Carlos III de Madrid, Spain
  • Joao Gama, Universidade do Porto, Portugal
  • Marko Grobelnik, Josef Stefan Institute, Slovenia
  • Peter A. Flach, University of Bristol, United Kingdom

Short Courses Titles:

  • Predicting the rankings of financial analysts, supporting big data projects and other applications of label ranking methods
  • Multi-label Classification
  • Knowledge Discovery from Data Streams
  • Big Data Analytics
  • Comparing apples and oranges: towards commensurate evaluation metrics in classification

For registration fees and other details, visit

www.amda.icmc.usp.br/mlkdd2013/


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