Skip to main content
AkademIndex

Products

For developers

AkademBaseOpen API for the ecosystem
← Back to work

Works citing this work

7 works

Work: The WEKA data mining software

  1. Coverage-Based Classification Using Association Rule Mining

    Jamolbek Mattiev, Branko Kavšek

    ArticleData Mining Algorithms and ApplicationsApplied Sciences20203 citations
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    ChapterData Mining Algorithms and ApplicationsLecture notes in computer science20203 citations
    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

    ArticleEEG and Brain-Computer InterfacesBioengineering20221 citations
    ABI

  4. ACHC: Associative Classifier Based on Hierarchical Clustering

    Jamolbek Mattiev, Branko Kavšek

    ChapterData Mining Algorithms and ApplicationsLecture notes in computer science20210 citations
    ABI

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

    Jamolbek Mattiev, Christopher Meza, Branko Kavšek

    ArticleData Mining Algorithms and ApplicationsApplied Sciences20220 citations
    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

    ArticleAI in cancer detectionBig Data and Cognitive Computing20250 citations
    ABI

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

    Tolibjon Mirzayev

    ChapterNetwork Security and Intrusion DetectionLecture notes in networks and systems20260 citations
    ABI