I have data that contains the LOGINDate, UserName, and USERID.
I need to use the MLTK to detect user behavior individually, not for all users together.
The goal is to use Machine Learning to detect the normal behavior of each user based on hours and days.
Additionally, I need to detect:
- If the user logs in on off days, to determine whether it’s normal behavior.
- If the user logs in at abnormal hours on any day, this should also be detected.
I successfully implemented this using Python, but the customer requires it to be done using Splunk MLTK without any static values.
