Ushbu ishga iqtibos qilgan ishlar

4 ta ish

Ish: MMAC: A New Multi-Class, Multi-Label Associative Classification Approach

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

   Jamolbek Mattiev, Branko Kavšek

   MaqolaData Mining Algorithms and ApplicationsComputer Science and Information Systems20204 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.416363

2. Coverage-Based Classification Using Association Rule Mining

   Jamolbek Mattiev, Branko Kavšek

   MaqolaData Mining Algorithms and ApplicationsApplied Sciences20203 iqtibos

   ABIABI:AkademIndex/openalex/2020.article.000232

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

   Jamolbek Mattiev, Monte Davityan, Branko Kavšek

   MaqolaData Mining Algorithms and ApplicationsMathematics20231 iqtibos

   ABIABI:AkademIndex/openalex/2023.article.001595

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

   Jamolbek Mattiev, Christopher Meza, Branko Kavšek

   MaqolaData Mining Algorithms and ApplicationsApplied Sciences20220 iqtibos

   ABIABI:AkademIndex/openalex/2022.article.002421