Name
Abstract | ||
|---|---|---|
In this paper we present a hybrid model for real-time query processing over data stream collected by mobile air quality sensors. First, we introduce a novel indexing scheme for representing air quality and use it for generating and evaluating a static model over a yearly dataset. Then, this model is combined with a dynamic nearest-neighbor approach for real-time updates, and implemented into the Global Sensor Network (GSN) middleware, with added support for model queries. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2494091.2499772 | UbiComp (Adjunct Publication) |
Keywords | Field | DocType |
real-time query processing,global sensor network,model query,air quality data management,added support,static model,hybrid model,data stream,air quality,real-time updates,mobile air quality sensor,data mining | Middleware,Static model,Mobile sensing,Computer science,Data stream,Search engine indexing,Air quality index,Data management,Wireless sensor network,Database | Conference |
Citations | PageRank | References |
2 | 0.39 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erol Can Un | 1 | 5 | 0.92 |
| Julien Eberle | 2 | 112 | 7.81 |
| Yong-sung Kim | 3 | 310 | 28.97 |
| Karl Aberer | 4 | 6459 | 662.26 |