Pattern Recognition & Event Detection
Budget: $30 – $250 USD
Hello, I need some code (preferably in Python or jupyter notebook format, ipynb) for event detection and pattern recognition in data streams. You can use any dataset available on kaggle to perform this. It is preferable if the data streams come from IoT devices. Moreover, if you could write reservoir sampling code this would be good too. One similar approach is here : https://github.com/asoulet/ResPat
Our goal is to identify patterns and unique events in data streams. This is not school work. We are a small company dealing with IoT data streams and we aim to keep only patterns and events rather than storing the whole stream.
Moreover you can use these techniques to perform pattern recognition and event detection:
1) Clustering for data streams
2) Sampling with a Reservoir
3) Anomaly detection techniques
PM me for discussion and details!
Our goal is to identify patterns and unique events in data streams. This is not school work. We are a small company dealing with IoT data streams and we aim to keep only patterns and events rather than storing the whole stream.
Moreover you can use these techniques to perform pattern recognition and event detection:
1) Clustering for data streams
2) Sampling with a Reservoir
3) Anomaly detection techniques
PM me for discussion and details!