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6 та иш

Иш: Simple and Accurate Classification Method Based on Class Association Rules Performs Well on Well-Known Datasets

  1. Distance based clustering of class association rules to build a compact, accurate and descriptive classifier

    Jamolbek Mattiev, Branko Kavšek

    МақолаData Mining Algorithms and ApplicationsComputer Science and Information Systems20204 иқтибос
    ABI

  2. Coverage-Based Classification Using Association Rule Mining

    Jamolbek Mattiev, Branko Kavšek

    МақолаData Mining Algorithms and ApplicationsApplied Sciences20203 иқтибос
    ABI

  3. CMAC: Clustering Class Association Rules to Form a Compact and Meaningful Associative Classifier

    Jamolbek Mattiev, Branko Kavšek

    БобData Mining Algorithms and ApplicationsLecture notes in computer science20203 иқтибос
    ABI

  4. ACHC: Associative Classifier Based on Hierarchical Clustering

    Jamolbek Mattiev, Branko Kavšek

    БобData Mining Algorithms and ApplicationsLecture notes in computer science20210 иқтибос
    ABI

  5. The Effect of “Directness” of the Distance Metric to Produce Compact and Accurate Associative Classification Models

    Jamolbek Mattiev, Christopher Meza, Branko Kavšek

    МақолаData Mining Algorithms and ApplicationsApplied Sciences20220 иқтибос
    ABI

  6. Importance of Data Preprocessing for Accurate and Effective Prediction of Breast Cancer: Evaluation of Model Performance in Novel Data

    Vekani Baloyi, Jamolbek Mattiev, Sello Mokwena

    МақолаAI in cancer detectionBig Data and Cognitive Computing20250 иқтибос
    ABI