| Article title |
Year |
Importance of Data Preprocessing for Accurate and Effective Prediction of Breast Cancer: Evaluation of Model Performance in Novel Data
V Baloyi, J Mattiev, S Mokwena Big Data and Cognitive Computing 9 (10), 266, | 2025 |
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 | |
