Phenomenon-Aware Sensor Database Systems

Author:

Ali M. H.

Publisher

Springer Berlin Heidelberg

Reference30 articles.

1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Proc. of VLDB (1994)

2. Ali, M.H., Aref, W.G., Bose, R., Elmagarmid, A.K., Helal, A., Kamel, I., Mokbel, M.F.: Nile-pdt: A phenomena detection and tracking framework for data stream management systems. In: Proc. of VLDB (2005)

3. Ali, M.H., Aref, W.G., Kamel, I.: Multi-way joins for sensor-network databases. Technical Report CSD-05-21, Department of Computer Science, Purdue University (2005)

4. Ali, M.H., Aref, W.G., Nita-Rotaru, C.: Spass: Scalable and energy-efficient data acquisition in sensor databases. In: Proc. of the International ACM Workshop on Data Engineering for Wireless and Mobile Access (MobiDE) (2005)

5. Ali, M.H., Mokbel, M.F., Aref, W.G., Kamel, I.: Detection and tracking of discrete phenomena in sensor-network databases. In: Proc. of SSDBM (2005)

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