Работы, цитирующие эту работу

Работ: 6

Работа: C4.5: Programs for Machine Learning

1. Automation of agrotechnical assessment of cotton harvesting machines

   Anvar Abdazimov, Sobirjon Radjabov, N N Omonov

   СтатьяEngineering and Agricultural InnovationsJournal of Physics Conference Series2019Цитирований: 7

   ABIABI:AkademIndex/openalex/2019.article.000234

2. 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

3. Coverage-Based Classification Using Association Rule Mining

   Jamolbek Mattiev, Branko Kavšek

   СтатьяData Mining Algorithms and ApplicationsApplied Sciences2020Цитирований: 3

   ABIABI:AkademIndex/openalex/2020.article.000232

4. 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

5. Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments

   Ilyos Rabbimov, Iosif Mporas, Vasiliki Simaki +1

   ПрепринтSentiment Analysis and Opinion MiningLecture notes in computer science2020Цитирований: 0

   ABIABI:AkademIndex/openalex/2020.preprint.000012

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

   ABIABI:AkademIndex/openalex/2022.article.002421