Empirical comparison of clustering and classification methods for detecting Internet addiction

Empirical comparison of clustering and classification methods for detecting Internet addiction

Machine learning methods for clustering and classification are widely used in various domains. However, their performance and applicability may depend on the characteristics of the data and the problem. In this paper, we present an empirical comparison of several clustering and classification metho...

Full description

Bibliographic Details
Main Authors: Oksana V. Klochko, Vasyl M. Fedorets, Vitalii I. Klochko
Format: Article
Language:English
Published: Academy of Cognitive and Natural Sciences 2024-03-01
Series:CTE Workshop Proceedings
Subjects:
machine learning
clustering
classification
Internet addiction
WEKA
Online Access:https://acnsci.org/journal/index.php/cte/article/view/664

Similar Items

Similar Items