I have a big .CSV database of 25k users with various attributes of the last user's activity and events during the past 6 weeks
This is an example of the data:
username (B) (C) (D) (E) nicole 524 329 203 787 asteria 197 186 286 120
I want to create a common behavior pattern based on the values of the attributes of each user and run an algorithm to find a common pattern that defines this group's behavior and to find out if there is any correlation in the dimensions values and which dimension define this list of users. I am fully aware that correlation does not necessarily equal causation.
Now I see several challenges in front of me and would greatly appreciate some input from others, or some good resources to find further information.
What is the model for this problem ? What kind of Algorithm is the best to deal with this situation? What is the tools that you recommend to use of the project ?
Any ideas would be great.