I have log file data for large cluster . i have converted it in to tabular form.
column of data are - session id ,Time stamp ,userid , Ip address and some other fields.
I have to apply Machine learning Or Deep learning to find anomaly in user behavior
- if user have login from different Ip address that he have not signed in earlier
- If user have signed in different time that is not usual for that user.
Which ML/DL algorithm I can apply ? I read about auto encoder but not sure it will work for text data.