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7 ta ish

Ish: A new approach to classification based on association rule mining

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

    Jamolbek Mattiev, Branko Kavšek

    MaqolaOchiq kirishData Mining Algorithms and ApplicationsComputer Science and Information Systems20204 iqtibos
    ABI

  2. Coverage-Based Classification Using Association Rule Mining

    Jamolbek Mattiev, Branko Kavšek

    MaqolaOchiq kirishData Mining Algorithms and ApplicationsApplied Sciences20203 iqtibos
    ABI

  3. Application of artificial intelligence technologies to assess water salinity

    D.T. Muhamediyeva

    MaqolaOchiq kirishAdvanced Data Processing TechniquesIOP Conference Series Earth and Environmental Science20232 iqtibos
    ABI

  4. ACMKC: A Compact Associative Classification Model Using K-Modes Clustering with Rule Representations by Coverage

    Jamolbek Mattiev, Monte Davityan, Branko Kavšek

    MaqolaOchiq kirishData Mining Algorithms and ApplicationsMathematics20231 iqtibos
    ABI

  5. Fuzzy logical model for assessing soil salinity

    D.T. Muhamediyeva

    MaqolaOchiq kirishScientific Research Methodologies and ApplicationsIOP Conference Series Earth and Environmental Science20231 iqtibos
    ABI

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

    Jamolbek Mattiev, Christopher Meza, Branko Kavšek

    MaqolaOchiq kirishData Mining Algorithms and ApplicationsApplied Sciences20220 iqtibos
    ABI

  7. Fuzzy logic model of assessment soil salinatization

    Dilnoz Muhamediyeva, Abdurashid Samijonov, Shakhzodbek Bakhtiyorov +1

    MaqolaAdvanced Computational Techniques in Science and EngineeringAIP conference proceedings20240 iqtibos
    ABI