This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
This paper presents two classification systems for medical images based on association rule mining. The system we propose consists of: a pre-processing phase, a phase for mining th...
Alexandru Coman, Maria-Luiza Antonie, Osmar R. Za&...
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
In this report, we briefly review the Multi-Relational Data Mining workshop, which was held in Edmonton, Canada on July, 23, 2002 as part of the workshop program of the 8th ACM SI...