Branko Kavšek

8 ta ish

Jožef Stefan International Postgraduate School

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
ABI
Coverage-Based Classification Using Association Rule Mining
Jamolbek Mattiev, Branko Kavšek
MaqolaData Mining Algorithms and ApplicationsApplied Sciences20203 iqtibos
ABI
Word Game Modeling Using Character-Level N-Gram and Statistics
Jamolbek Mattiev, Ulugbek Salaev, Branko Kavšek
MaqolaNatural Language Processing TechniquesMathematics20233 iqtibos
ABI
CMAC: Clustering Class Association Rules to Form a Compact and Meaningful Associative Classifier
Jamolbek Mattiev, Branko Kavšek
BobData Mining Algorithms and ApplicationsLecture notes in computer science20203 iqtibos
ABI
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
ABI
ACHC: Associative Classifier Based on Hierarchical Clustering
Jamolbek Mattiev, Branko Kavšek
BobData Mining Algorithms and ApplicationsLecture notes in computer science20210 iqtibos
ABI
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
ABI
Advanced Word Game Design Based on Statistics: A Cross-Linguistic Study with Extended Experiments
Jamolbek Mattiev, Ulugbek Salaev, Branko Kavšek
MaqolaNatural Language Processing TechniquesBig Data and Cognitive Computing20250 iqtibos
ABI