Cloud API framework for crossing IoT data streams and extracting gradual patterns
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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
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Download package
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Use a command line program with the local package:
$docker-compose upUsage
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
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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
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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
Citar como
Dickson Owuor (2026). Cloud API for gradual patterns (https://github.com/owuordickson/cloud-api/releases/tag/v1.0.0), GitHub. Recuperado .
Agradecimientos
Inspirado por: Ant Colony Optimization for Gradual Patterns
Información general
- Versión 1.0.0 (1,41 MB)
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Ver licencia en GitHub
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
| Versión | Publicado | Notas de la versión | Action |
|---|---|---|---|
| 1.0.0 |

