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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/CC96CE04-CBF2-4254-99E9-60E54877435C | - |
| Identifier | http://www.vldb.org/conf/2006/p163-jeffery.pdf | - |
| Language | en | - |
| Extent | 12 pages | en |
| Title | Adaptive cleaning for RFID data streams | en |
| Creator | Shawn R. Jeffery | en |
| Creator | Garofalakis Minos | en |
| Creator | Γαροφαλακης Μινως | el |
| Creator | Franklin Michael J. | en |
| Publisher | Association for Computing Machinery | en |
| Content Summary | To compensate for the inherent unreliability of RFID data streams, most RFID middleware systems employ a “smoothing filter”, a sliding-window aggregate that interpolates for lost readings. In this paper, we propose SMURF, the first declarative, adaptive smoothing filter for RFID data cleaning. SMURF models the unreliability of RFID readings by viewing RFID streams as a statistical sample of tags in the physical world, and exploits techniques grounded in sampling theory to drive its cleaning processes. Through the use of tools such as binomial sampling and π-estimators, SMURF continuously adapts the smoothing window size in a principled manner to provide accurate RFID data to applications. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-12-01 | - |
| Date of Publication | 2006 | - |
| Subject | Databases technology | en |
| Bibliographic Citation | S. R. Jeffery, M. Garofalakis and M. J. Franklin, "Adaptive cleaning for RFID data streams", in 32nd International Conference on Very Large Data Bases, 2006, pp 163-174. | en |
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