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SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
16 years 6 months ago
Sampling cube: a framework for statistical olap over sampling data
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...
Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Y...
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
16 years 6 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi
SIGMOD
2007
ACM
125views Database» more  SIGMOD 2007»
16 years 6 months ago
Optimizing mpf queries: decision support and probabilistic inference
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
Héctor Corrada Bravo, Raghu Ramakrishnan
SIGMOD
2005
ACM
154views Database» more  SIGMOD 2005»
16 years 6 months ago
Lazy XML Updates: Laziness as a Virtue of Update and Structural Join Efficiency
XML documents are normally stored as plain text files. Hence, the natural and most convenient way to update XML documents is to simply edit the text files. But efficient query eva...
Barbara Catania, Wen Qiang Wang, Beng Chin Ooi, Xi...
SIGMOD
2003
ACM
145views Database» more  SIGMOD 2003»
16 years 6 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...
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