Hi,
I recently finished working on a tool that might be relevant to you if you're working with temporal discrete events (or intervals).
It fills a need that most time series packages don't which is dealing with discrete time series rather than continuous.
For example, you could see patterns of co-occurring events, consecutive events, differences in distributions between sessions in your data and more.
Could be useful if you're into analyzing/modeling:
- Human behavior
- Cyber security
- IoT
- Any other discrete events data that has a value, start and end times attributes
An example (based on the ADL dataset in UCI repo):
Patterns of consecutive events (Markov chain like):
Patterns of co-occurring events:
Events timeline:
Any feedback is mostly welcome!
Omri