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Работы, цитирующие эту работу

Работ: 7

Работа: The WEKA data mining software

  1. Coverage-Based Classification Using Association Rule Mining

    Jamolbek Mattiev, Branko Kavšek

    СтатьяData Mining Algorithms and ApplicationsApplied Sciences2020Цитирований: 3
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    ГлаваData Mining Algorithms and ApplicationsLecture notes in computer science2020Цитирований: 3
    ABI

  3. Assessment of Model Accuracy in Eyes Open and Closed EEG Data: Effect of Data Pre-Processing and Validation Methods

    Jamolbek Mattiev, Jakob Sajovic, Gorazd Drevenšek +1

    СтатьяEEG and Brain-Computer InterfacesBioengineering2022Цитирований: 1
    ABI

  4. ACHC: Associative Classifier Based on Hierarchical Clustering

    Jamolbek Mattiev, Branko Kavšek

    ГлаваData Mining Algorithms and ApplicationsLecture notes in computer science2021Цитирований: 0
    ABI

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

    Jamolbek Mattiev, Christopher Meza, Branko Kavšek

    СтатьяData Mining Algorithms and ApplicationsApplied Sciences2022Цитирований: 0
    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

    СтатьяAI in cancer detectionBig Data and Cognitive Computing2025Цитирований: 0
    ABI

  7. Integration of Artificial Intelligence in Cybersecurity: Predictive Framework for Real-Time Threat Detection and Response

    Tolibjon Mirzayev

    ГлаваNetwork Security and Intrusion DetectionLecture notes in networks and systems2026Цитирований: 0
    ABI