Lead People

Director(s): Dan Simovici

Vast amounts of data are being gathered at a very rapid rate in various fields, such as high energy particle physics, astronomy, astrophysics, and bioinformatics. The need for efficient and high quality algorithms to mine these datasets for hidden patterns has pushed the frontiers of research in machine learning and data mining.

The Data Mining Group (DMG) at UMass Boston is investigating novel ways of exploring large datasets using diverse techniques, such as mathematical programming, information theoretic methods, Bayesian models, and statistical and neural net based learning.