Name
Abstract | ||
|---|---|---|
Data measured in wireless sensor networks are inherently imprecise. Aggregate queries are often used to analyze the collected data in order to alleviate the impact of such imprecision. In this paper we will deal with the imprecision in the measured values explicitly by employing a probabilistic approach and we focus on one particular type of aggregate query, namely the SUM query. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31235-9_6 | SSDBM |
Keywords | Field | DocType |
measured value,wireless sensor network,sum query,particular type,aggregate query,continuous probabilistic sum query,probabilistic approach | Sensor node,Data mining,Computer science,Probabilistic logic,Wireless sensor network,Database | Conference |
Volume | ISSN | Citations |
7338 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 26 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nina Hubig | 1 | 13 | 4.64 |
| Andreas Züfle | 2 | 310 | 29.17 |
| Tobias Emrich | 3 | 326 | 22.17 |
| Mario A. Nascimento | 4 | 1547 | 162.96 |
| Matthias Renz | 5 | 1077 | 72.63 |
| Hans-Peter Kriegel | 6 | 20742 | 3284.07 |