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Работы, цитирующие эту работу

Работ: 7

Работа: 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

    СтатьяData Mining Algorithms and ApplicationsComputer Science and Information Systems2020Цитирований: 4
    ABI

  2. Coverage-Based Classification Using Association Rule Mining

    Jamolbek Mattiev, Branko Kavšek

    СтатьяData Mining Algorithms and ApplicationsApplied Sciences2020Цитирований: 3
    ABI

  3. Application of artificial intelligence technologies to assess water salinity

    D.T. Muhamediyeva

    СтатьяAdvanced Data Processing TechniquesIOP Conference Series Earth and Environmental Science2023Цитирований: 2
    ABI

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

    Jamolbek Mattiev, Monte Davityan, Branko Kavšek

    СтатьяData Mining Algorithms and ApplicationsMathematics2023Цитирований: 1
    ABI

  5. Fuzzy logical model for assessing soil salinity

    D.T. Muhamediyeva

    СтатьяScientific Research Methodologies and ApplicationsIOP Conference Series Earth and Environmental Science2023Цитирований: 1
    ABI

  6. 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

  7. Fuzzy logic model of assessment soil salinatization

    Dilnoz Muhamediyeva, Abdurashid Samijonov, Shakhzodbek Bakhtiyorov +1

    СтатьяAdvanced Computational Techniques in Science and EngineeringAIP conference proceedings2024Цитирований: 0
    ABI