Computational Data Analysis - Classification
Session
Computer Science and Communication Engineering
Description
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 (SMO), J48 Decision Tree, and KStar.
Keywords:
Machine learning, algorithm, text, machine learning algorithms, weka, classification.
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-50-5
Location
UBT Kampus, Lipjan
Start Date
29-10-2022 12:00 AM
End Date
30-10-2022 12:00 AM
DOI
10.33107/ubt-ic.2022.271
Recommended Citation
Beqiri, Lavdim and Ahma, Greta, "Computational Data Analysis - Classification" (2022). UBT International Conference. 279.
https://knowledgecenter.ubt-uni.net/conference/2022/all-events/279
Computational Data Analysis - Classification
UBT Kampus, Lipjan
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 (SMO), J48 Decision Tree, and KStar.