Работы, цитирующие эту работу

Работ: 4

Работа: Mining Clusters with Association Rules

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. 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

3. 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

4. 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