Incremental Decision Rules Algorithm: A Probabilistic and Dynamic Approach to Decisional Data Stream Problems

Data science is currently one of the most promising fields used to support decision-making process. Particularly, data streams can give these supportive systems an updated base knowledge that allows experts make decisions with models. Incremental Decision Rules Algorithm (IDRA) proposes a new incremental decision-rule method based on classical ID3 approach generating and updating rule set. This algorithm novel designed fit Support System (DSS) whose motivation accurate responses in affordable time for decision situation. work includes several experiments compare IDRA static but optimized (CREA) adaptive VFDR. A battery scenarios different error types rates are proposed three algorithms. improves accuracies VFDR CREA common cases simulated this work. In particular, technique has proven perform better those no error, low noise, or high-impact concept drifts.