DL-$elect: A Decision-List-Based Data-Mining System

Karl Weinmeister

The application of machine-learning algorithms to the financial markets has been increasing in popularity in recent years. The majority of systems that have been created for the purpose of selecting stocks have utilized neural-network techniques. Our research has dealt with the feasibility of inductive logic approaches and the creation of a decision-list-based data-mining system, DL-$elect.

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