Home → Research → Groups → Data Mining Group (DMG)
Mission: 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, under the leadership of Professor Dan Simovici, 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.
Hardware and Software:- Association Rule Miner (ARMiner)
- Agglomerative Clustering
- Approximate Frequent Item Set Algorithm (AFISA)
- Multiset-based XML Document Classifier (MUDXML)
Elena Cristofor
Laurentiu Cristofor
Szymon Jaroszewicz
Selim Mimaroglu
Current Students: Saaid Baraty
Swami Iyer
Dan Pletea
Roman Sizov
Rosanne Vetro
Homepage: http://www.cs.umb.edu/dmg
| Publications (2009): |
| 1 | Simovici, D., Pletea, D. and Vetro, R. Mining determining sets for partially defined functions. , 2009. [bibtex] [http] |
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