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- Boriana L. Milenova, Joseph Yarmus, Marcos M. Campos
- VLDB
- 2005

Contemporary commercial databases are placing an increased emphasis on analytic capabilities. Data mining technology has become crucial in enabling the analysis of large volumes of data. Modern data mining techniques have been shown to have high accuracy and good generalization to novel data. However, achieving results of good quality often requires high… (More)

The objective of this thesis is to develop efficient text classification models to classify text documents. In usual text mining algorithms, a document is represented as a vector whose dimension is the number of distinct keywords in it, which can be very large. Consequently, traditional text classification can be computationally expensive. In this work,… (More)

- Joseph Yarmus
- 2002

Adaptive Bayes Network (ABN) is a fast algorithm for constructing Bayesian Network classifiers using Minimum Description Length (MDL) and automatic feature selection. ABN does well in domains where Naive Bayes fares poorly, and in other domains is, within statistical bounds, at least as good a classifier.

- Pablo Tamayo, Charles E H Berger, +12 authors Jacek Myczkowsji
- The Data Mining and Knowledge Discovery Handbook
- 2005

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