Работы, цитирующие эту работу

Работ: 6

Работа: Simple and Accurate Classification Method Based on Class Association Rules Performs Well on Well-Known Datasets

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

   ABIABI:AkademIndex/openalex/2026.other.416363

2. Coverage-Based Classification Using Association Rule Mining

   Jamolbek Mattiev, Branko Kavšek

   СтатьяData Mining Algorithms and ApplicationsApplied Sciences2020Цитирований: 3

   ABIABI:AkademIndex/openalex/2020.article.000232

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

   Jamolbek Mattiev, Branko Kavšek

   ГлаваData Mining Algorithms and ApplicationsLecture notes in computer science2020Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.468606

4. ACHC: Associative Classifier Based on Hierarchical Clustering

   Jamolbek Mattiev, Branko Kavšek

   ГлаваData Mining Algorithms and ApplicationsLecture notes in computer science2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.chapter.000095

5. 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

   ABIABI:AkademIndex/openalex/2022.article.002421

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

   СтатьяAI in cancer detectionBig Data and Cognitive Computing2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002448