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SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
15 years 10 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
15 years 9 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
SIGMOD
2003
ACM
145views Database» more  SIGMOD 2003»
15 years 9 months ago
Evaluating Probabilistic Queries over Imprecise Data
Many applications employ sensors for monitoring entities such as temperature and wind speed. A centralized database tracks these entities to enable query processing. Due to contin...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
PODS
2008
ACM
109views Database» more  PODS 2008»
15 years 9 months ago
Time-decaying aggregates in out-of-order streams
Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
Graham Cormode, Flip Korn, Srikanta Tirthapura
EDBT
2008
ACM
171views Database» more  EDBT 2008»
15 years 9 months ago
Replay-based approaches to revision processing in stream query engines
Data stream processing systems have become ubiquitous in academic and commercial sectors, with application areas that include financial services, network traffic analysis, battlef...
Anurag Maskey, Mitch Cherniack