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Arxiv
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CFIRE: A General Method for Combining Local Explanations
- Researchers propose a new eXplainable AI algorithm for computing global decision rules.
- The algorithm combines XAI methods with closed frequent itemset mining.
- By addressing the disagreement problem, the algorithm accommodates different local explainers.
- Evaluation of the algorithm demonstrates its robustness and improved performance in generating compact and complete rules.
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