A new version of the rule induction system LERS
Fundamenta Informaticae
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HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
ICDM'11 Proceedings of the 11th international conference on Advances in data mining: applications and theoretical aspects
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RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
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An in-house developed computer program Belief -SEEKER, capable to generate belief networks and also to generate sets of belief rules, has been presented in this paper. This system has a modular architecture, and consists of the following modules: Knowledge Discovery Module (KDM, an intelligent agent or pre-processor), Belief Network Development Module (BDM, generates belief networks), Belief Network Training Module (BTM, shows the distribution of conditional probabilities using a two-dimensional graph, together with some hints extracted from the investigated data), Belief Network Conversion Module (BCM, converts generated belief networks into relevant sets of belief rules of the type IF...THEN), and Probability Reasoning Module (PRM, checks the correctness of developed learning models as the "prediction of future" in classification of unseen examples).