Cloud API for gradual patterns
Integrating gradual pattern mining tools into the Cloud
A Docker implementation of OGC/SensorThings API with gradual pattern mining tools integrated into it
Research paper is available via this link:
- Owuor, Dickson, Anne Laurent, Joseph Orero, and Olivier Lobry. "Gradual Pattern Mining Tool on Cloud." Extraction et Gestion des Connaissances: Actes EGC'2021 (2021).
Requirements
You will be required to install Docker
Installation
-
Download package
-
Use a command line program with the local package:
$docker-compose up
Usage
Launch your Browser and go to: http://localhost:8080
NB: a sample IoT data set provided in sample_data
, follow the steps to populate your database
References
-
Owuor D.O., Laurent A., Orero J.O. (2020) Exploiting IoT Data Crossings for Gradual Pattern Mining Through Parallel Processing. In: Bellatreche L. et al. (eds) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium. TPDL 2020, ADBIS 2020. Communications in Computer and Information Science, vol 1260. Springer, Cham. https://doi.org/10.1007/978-3-030-55814-7_9
-
Dickson Owuor, Anne Laurent, and Joseph Orero (2019). Mining Fuzzy-temporal Gradual Patterns. In the proceedings of the 2019 IEEE International Conference on Fuzzy Systems (FuzzIEEE). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2019.8858883
Citation pour cette source
Dickson Owuor (2024). Cloud API for gradual patterns (https://github.com/owuordickson/cloud-api/releases/tag/v1.0.0), GitHub. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxTags
Remerciements
Inspiré par : Ant Colony Optimization for Gradual Patterns
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Version | Publié le | Notes de version | |
---|---|---|---|
1.0.0 |