| Title |
Bigclue Analytics: A Middleware Component For Modeling Sensor Data In Iot Systems |
| ID_Doc |
12168 |
| Authors |
Huru D.; Leordeanu C.; Apostol E.; Mocanu M.; Cristea V. |
| Year |
2019 |
| Published |
Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 |
| DOI |
http://dx.doi.org/10.1109/HPCC/SmartCity/DSS.2018.00148 |
| Abstract |
The typology of most IoT projects requires data processing to be handled in a low latency scenario. In this article we first introduce BigClue, a middle-ware capable of collecting, processing and modeling sensor data in such a scenario. Then we present BigClue Analytics, a specialized component which is part of the middle-ware that has multiple features: data modeling, data prediction, anomaly detection and sensor correlation. While our experimental work is validated in a greenhouse environment the intention is to extend its applicability to other problem domains. © 2018 IEEE. |
| Author Keywords |
Analytics; Anomaly detection; IoT; Machine learning; Time series modeling |
