Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Rule induction with CN2: some recent improvements
EWSL-91 Proceedings of the European working session on learning on Machine learning
Knowledge discovery in databases: an overview
AI Magazine
C4.5: programs for machine learning
C4.5: programs for machine learning
A comparison of logistic regression to decision-tree induction in a medical domain
Computers and Biomedical Research
Recursive Automatic Bias Selection for Classifier Construction
Machine Learning - Special issue on bias evaluation and selection
Applications of machine learning and rule induction
Communications of the ACM
Applications of inductive logic programming
Communications of the ACM
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Predictive data mining: a practical guide
Predictive data mining: a practical guide
Machine Learning
A survey of data mining and knowledge discovery software tools
ACM SIGKDD Explorations Newsletter
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In this short paper we have resumed a keynote speech, to be given at the ISMDA 2000 conference, about data mining research and tools. We state a brief summary of the main concepts associated to data mining and some of the methods and tools used in the scientific world, mainly those that can associated to medical applications. Finally, some practical projects and conclusions are presented.