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» Efficient Processing of Top-k Queries in Uncertain Databases
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SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
14 years 7 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
VLDB
2004
ACM
120views Database» more  VLDB 2004»
14 years 28 days ago
Merging the Results of Approximate Match Operations
Data Cleaning is an important process that has been at the center of research interest in recent years. An important end goal of effective data cleaning is to identify the relatio...
Sudipto Guha, Nick Koudas, Amit Marathe, Divesh Sr...
PVLDB
2010
158views more  PVLDB 2010»
13 years 6 months ago
Building Ranked Mashups of Unstructured Sources with Uncertain Information
Mashups are situational applications that join multiple sources to better meet the information needs of Web users. Web sources can be huge databases behind query interfaces, which...
Mohamed A. Soliman, Ihab F. Ilyas, Mina Saleeb
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
14 years 7 months ago
Orion 2.0: native support for uncertain data
Orion is a state-of-the-art uncertain database management system with built-in support for probabilistic data as first class data types. In contrast to other uncertain databases, ...
Sarvjeet Singh, Chris Mayfield, Sagar Mittal, Suni...
EDBT
2009
ACM
165views Database» more  EDBT 2009»
13 years 5 months ago
Exploiting the power of relational databases for efficient stream processing
Stream applications gained significant popularity over the last years that lead to the development of specialized stream engines. These systems are designed from scratch with a di...
Erietta Liarou, Romulo Goncalves, Stratos Idreos