Abstract | ||
---|---|---|
The requirements of analyzing heterogeneous data streams and detecting complex patterns in near real-time have raised the prospect of complex event processing (CEP) for many Internet of Things (IoT) applications. Although CEP provides a scalable and distributed solution for analyzing complex data streams on the fly, it is designed for reactive applications as CEP acts on near real-time data and do... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/JIOT.2017.2712672 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Real-time systems,Heuristic algorithms,Predictive models,Prediction algorithms,Adaptation models,Data models,Internet of Things | Data mining,Data modeling,Data stream mining,Computer science,Predictive analytics,Complex data type,Complex event processing,Intelligent transportation system,Big data,Distributed computing,Scalability | Journal |
Volume | Issue | ISSN |
4 | 5 | 2327-4662 |
Citations | PageRank | References |
10 | 0.52 | 19 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Adnan Akbar | 1 | 31 | 2.61 |
Abdullah Khan | 2 | 10 | 0.52 |
François Carrez | 3 | 111 | 12.34 |
Klaus Moessner | 4 | 1077 | 112.48 |