An intelligent mining method for network marketing potential user based on random forest algorithm

Key Points

• This research aims to develop a method for identifying potential users in network marketing using data mining techniques.
• Utilized a random forest algorithm for data analysis
• Conducted data mining to uncover user patterns
• Focused on user segmentation for targeted marketing strategies
• The random forest algorithm effectively identifies potential users.
• Improved accuracy in targeting marketing efforts was observed.
• Successful segmentation led to more efficient user engagement strategies.