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Jamolbek Mattiev
Jamolbek Mattiev
PhD of Computer Science, Urgench State University
Verified email at urdu.uz - Homepage
Title
Cited by
Cited by
Year
Coverage-based classification using association rule mining
J Mattiev, B Kavsek
Applied Sciences 10 (20), 7013, 2020
112020
A compact and understandable associative classifier based on overall coverage
J Mattiev, B Kavšek
Procedia computer science 170, 1161-1167, 2020
92020
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
52019
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
42021
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
22020
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
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
2022
ACHC: Associative Classifier Based on Hierarchical Clustering
J Mattiev, B Kavšek
International Conference on Intelligent Data Engineering and Automated …, 2021
2021
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
2020
How overall coverage of class association rules affects the accuracy of the classifier?
J Mattiev, B Kavšek
2019
Using constrained exhaustive search vs. greedy heuristic search for classification rule learning
M Jamolbek Maqsudovich, B Kavšek
Proceedings of the 2018 5th Student Computer Science Research Conference …, 2018
2018
Using constrained exhaustive search vs. greedy heuristic search for classification rule learning
J Mattiev, B Kavšek
Computer Science Research Conference 43, 2018
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
2016
The Importance of Data Preprocessing and Model Validation Methods for Assessment of Model Accuracy in EC and EO EEG Data
J Mattiev, J Sajovic, G Drevenšek, P Rogelj
Available at SSRN 4208520, 0
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Articles 1–14