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arXiv Machine Learning By Ali Alsalama, Ahmed Kubba, Ghaith Jamjoum, Zaher Al Aghbari

Classification Based on Association Rules Algorithm for Breast Cancer

Read the original on arXiv Machine Learning →

The paper presents a new association rule-based data mining technique for classifying breast cancer, emphasizing early detection. It introduces a weighted classification approach that uses three core algorithms: Rule Generation, Rule Pruning, and Rule Prediction. The method identifies frequent itemsets, prunes rules into major and minor groups, and applies the pruned rules to classify test data, demonstrating feasibility and performance on several samples.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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