Scopus Indexed Publications

Paper Details


Title
Prediction of internet user satisfaction levels in Bangladesh using data mining and analysis of influential factors
Author
Md. Hasan Imam Bijoy, Md. Ali Ashraf Nayeem, Md. Jueal Mia , Md. Mahbubur Rahman, Sumiya Alam Akhi,
Email
Abstract

Today the world has already acknowledged as a global village by the inter-net which has technologically evolved into a significant performance instrument for individuals, businesses, and countries seeking to achieve betterment. This study is based on data mining techniques to predict the satisfaction level of internet users from the context of Bangladesh. After conducting a public survey with 18 questions, we were able to acquire 451 responses from participants. Data for user satisfaction was associated with end-user characteristics including certain getting high speed, internet packages, cable type of Wi-Fi connection with targeting various age groups and occupations. The research's most key conceptual breakthrough was the reliability of magnitude predictions of user satisfaction level based on their experience with internet use. The empirical findings indicate that people in Bangladesh have high expectations in existing internet technology, and they are very dissatisfied with their facilities of internet use and to measure satisfaction level related with monthly limit of the Wi-Fi packages and the elements affecting internet speed. Several classifier models were applied to our dataset and among them, Random Forest (RF) performance reaches the top position with 91.53% accuracy.

Keywords
Bangladesh; Data mining; Internet; Internet users; User satisfaction level
Journal or Conference Name
Bulletin of Electrical Engineering and Informatics
Publication Year
2022
Indexing
scopus