Scopus Indexed Publications

Paper Details


Title
Predicting the Level of Safety Feeling of Bangladeshi Internet users using Data Mining and Machine Learning
Author
Md. Safiul Alam, Anirban Roy, Ms. Sharun Akter Khushbu, Partha Protim Majumder,
Email
Abstract

An amazing combination of cutting-edge data mining and machine learning methodologies to predict the level of safety feeling among Bangladeshi internet users, which is a significant departure in this subject. By leveraging cutting-edge algorithms and innovative data sources, this work provides previously unheard-of insights into how this demographic perceives online safety, shedding light on an essential yet underappreciated aspect of their digital lives. This exceptional study's original research increases the body of knowledge of online safety and sets the road for policy recommendations and intervention tactics that will enable Bangladesh to become a global leader in internet security.


Keywords
Bangladesh; data analysis; data mining; important factors; machine learning; prediction; performance evaluation metrics; safety level
Journal or Conference Name
International Journal of Advanced Computer Science and Applications
Publication Year
2023
Indexing
scopus