Ushbu ishga iqtibos qilgan ishlar

4 ta ish

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

1. 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

2. ACHC: Associative Classifier Based on Hierarchical Clustering

   Jamolbek Mattiev, Branko Kavšek

   BobData Mining Algorithms and ApplicationsLecture notes in computer science20210 iqtibos

   ABIABI:AkademIndex/openalex/2021.chapter.000095

3. 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

4. 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

   MaqolaAI in cancer detectionBig Data and Cognitive Computing20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.002448