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Mattiev Jamolbek

Associate professor

Mattiev Jamolbek

Associate professor

Mattiev Jamolbek VIEW FULL FILE

Article title	Year
Advanced Word Game Design Based on Statistics: A Cross-Linguistic Study with Extended Experiments J Mattiev, U Salaev, B Kavšek Big Data and Cognitive Computing 9 (4), 103,	2025
ACMKC: A compact associative classification model using K-modes clustering with rule representations by coverage J Mattiev, M Davityan, B Kavsek Mathematics 11 (18), 3978,	2023
Word game modeling using character-level N-gram and statistics J Mattiev, U Salaev, B Kavsek Mathematics 11 (6), 1380,	2023
Assessment of model accuracy in eyes open and closed EEG data: Effect of data pre-processing and validation methods J Mattiev, J Sajovic, G Drevenšek, P Rogelj Bioengineering 10 (1), 42,	2022
Creating a morphological and syntactic tagged corpus for the Uzbek language M Sharipov, J Mattiev, J Sobirov, R Baltayev arXiv preprint arXiv:2210.15234,	2022
The Effect of Directness of the Distance Metric to Produce Compact and Accurate Associative Classification Models J Mattiev, C Meza, B Kavsek Applied Sciences 12 (18), 9055,	2022
ACHC: Associative Classifier Based on Hierarchical Clustering J Mattiev, B Kavšek International Conference on Intelligent Data Engineering and Automated ,	2021
Distance based clustering of class association rules to build a compact, accurate and descriptive classifier J Mattiev, B Kavšek Computer Science and Information Systems 18 (3), 791-811,	2021
Coverage-based classification using association rule mining J Mattiev, B Kavsek Applied Sciences 10 (20), 7013,	2020
CMAC: clustering class association rules to form a compact and meaningful associative classifier J Mattiev, B Kavšek International Conference on Machine Learning, Optimization, and Data Science ,	2020
Clustering Class Association Rules to form a Meaningful and Accurate Classifier: doctoral dissertation M Jamolbek Maqsudovich Univerza na Primorskem, Fakulteta za matematiko, naravoslovje in ,	2020
A compact and understandable associative classifier based on overall coverage J Mattiev, B Kavšek Procedia computer science 170, 1161-1167,	2020
Simple and accurate classification method based on class association rules performs well on well-known datasets J Mattiev, B Kavšek International Conference on Machine Learning, Optimization, and Data Science ,	2019
Using constrained exhaustive search vs. greedy heuristic search for classification rule learning M Jamolbek Maqsudovich, B Kavšek Proceedings of the 5th Student Computer Science Research Conference ,	2018
Extracting the hidden regularities on latent features by using interval methods in pattern recognition problems M Jamolbek, M Sanatbek European science review, 22-23,	2016
How overall coverage of class association rules affects the accuracy of the classifier? J Mattiev, B Kavšek