Beqiri, Lavdim and Ahma, Greta and Hajrizi, Edmond (2022) Computational Data Analysis - Classification. In: 11th International Conference on Business, Technology and Innovation 2022, 29-30 Oct 2022, Prishtina.
![[thumbnail of article]](/style/images/fileicons/text.png) |
Text (article)
Computational Data Analysis - Classification - UBT punimi.pdf - Accepted Version Download (877kB) |
|
Text
Books of Abstracts 11th International Conference on Business Technology and Innovat.pdf Download (1MB) |
Official URL: https://knowledgecenter.ubt-uni.net/conference/202...
Abstract
The research discusses Computational Data Analysis Classification, a short summary of the classification models (regression, classification and clustering), the particular focus is on classification. For a case study, for data analysis, it has been selected classification method. The comparisons were made by classifying and analyzing the processes from the datasets between algorithms: Naïve Bayes, Support Vector Machine (SVM), J48 Decision Tree, and KStar.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Zoran Zdravev |
| Date Deposited: | 18 Dec 2022 04:55 |
| Last Modified: | 19 Dec 2022 08:21 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/30719 |
Actions (login required)
 |
View Item |