Name
Abstract | ||
|---|---|---|
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of fields and applications. Based on the nature of the application, these devices will result in big or fast/real-time data streams. Applying analytics over such data streams to discover new information, predict future insights, and make control ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/COMST.2018.2844341 | IEEE Communications Surveys & Tutorials |
Keywords | DocType | Volume |
Machine learning,Big Data,Data analysis,Economics,Internet of Things,Data mining,Tutorials | Journal | 20 |
Issue | ISSN | Citations |
4 | 1553-877X | 76 |
PageRank | References | Authors |
2.29 | 100 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mehdi Mohammadi | 1 | 1091 | 50.02 |
| Ala I. Al-Fuqaha | 2 | 475 | 47.35 |
| Sameh Sorour | 3 | 680 | 51.27 |
| Mohsen Guizani | 4 | 6456 | 557.44 |