Rule-based Data Mining Methods for Classification Problems in the Biomedical Domain (English)

Description: September 24, 2004

This is an introductory to intermediate level tutorial that takes about three and half hours. This tutorial aims to introduce the importance of rule-based data mining methods for solving biomedical classification problems. We expect final-year students and post-graduate students in computer science or computational biology, post-doctorates starting work on general data mining or bioinformatics topics to attend. No special statistics, mathematics, or computer science backgrounds are required.

There are four parts in the tutorial. The tutorial begins with a description of a data set repository where we have stored about 20 high-dimensional biomedical data sets; Then, we will move to talk about decision trees, committees of decision trees, and also talk about how they are used in bioinformatics; Then, we will talk about interesting rules and patterns discovered from the data sets; Finally, we will demonstrate how to use a software package which implements a wide range data mining and machine learning algorithms including our own algorithms. This software is also free of academic use.
Language: English
URL:
Matrial: RuleBasedDM.tar.gz (14436 KB)
Date: 2004
Address: ECML/PKDD2004