Home → Research → Groups → Data Mining Group (DMG)
Mission: DMG is actively investigating aspects of Machine Learning and Data Mining, such as, similarity measures, association rule mining, video mining, mining structural representations such as XML documents, statistical and neural net based learning, probabilistic information retrieval, mining gene and biological databases, classification and model estimation, decision trees, Bayesian models and methods, statistical and conceptual clustering methods, applications of clustering, mining financial data, frequent pattern mining, and text mining. Hardware and Software:
- Association Rule Miner (ARMiner)
- Agglomerative Clustering
- Approximate Frequent Item Set Algorithm (AFISA)
- Multiset-based XML Document Classifier (MUDXML)
Swaminathan Iyer
Selim Mimaroglu
Dan Pletea
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