Metadata-Version: 2.1
Name: scikit-event-correlation
Version: 1.0.0
Summary: Event Correlation and Forecasting over High Dimensional Streaming Sensor Data algorithms
Home-page: https://github.com/Intellia-SME/scikit-event-correlation
Author: Marilena Athanasiou
Author-email: info@intellia.gr
License: BSD-3-Clause License
Project-URL: Changelog, https://github.com/Intellia-SME/scikit-event-correlation/blob/main/HISTORY.md
Project-URL: Twitter, https://twitter.com/intellia_gr
Project-URL: Bug Tracker, https://github.com/Intellia-SME/scikit-event-correlation/issues
Keywords: Scikit-learn
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# scikit-event-correlation

Event Correlation and Forecasting over High Dimensional Streaming Sensor Data algorithms

## Theory
Correlating events in complex and dynamic IoT environments is a challenging task not only because of the amount of available data that needs to be processed but also due to the call for time efficient data processing. We propose the adoption of a univariate change detection algorithm for real-time event detection and we implement a stepwise event correlation scheme based on a first-order Markov model.


## Requirements
* Python 3.6 to 3.10 supported.
* scikit-learn 1.0.0 to 1.02 supported.


## Installation
1. Install with pip:
```
python -m pip install scikit-event-correlation
```


## Example Project
See the example project in the [example/](https://github.com/Intellia-SME/scikit-event-correlation/tree/main/example) directory of the GitHub repository.



