Human Behavior Analysis using Association Rule Mining Techniques
M. Raihan, Md Tanvir Islam, Promila Ghosh, Md. Mehedi Hassan, Jarif Huda Angon, Sajib Kabiraj · 2020
At present, the use of social networks is growing rapidly. The matter is more alarming for all the users, who are sharing their personal information with various social media. In social media, their behavior can be reflected. In this research study, we have analyzed different human behavior acts on social media. The data we used in this analysis have been collected from different people in Bangladesh. Most of them are involved with different professions such as student, and various businesses. Approximately 1004 individuals' information with 19 unique features were collected. Among those, only 10 features have a strong correlation with social media. Apriori algorithm has been applied to determine 8 association rules where the outcome of support and confidence were 0.45, and 0.95, respectively.