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» Clean Answers over Dirty Databases: A Probabilistic Approach
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ICDE
2006
IEEE
141views Database» more  ICDE 2006»
12 years 2 months ago
Clean Answers over Dirty Databases: A Probabilistic Approach
The detection of duplicate tuples, corresponding to the same real-world entity, is an important task in data integration and cleaning. While many techniques exist to identify such...
Ariel Fuxman, Periklis Andritsos, Renée J. ...
ICDE
2009
IEEE
148views Database» more  ICDE 2009»
12 years 3 months ago
Probabilistic Inference over RFID Streams in Mobile Environments
Abstract-- Recent innovations in RFID technology are enabling large-scale cost-effective deployments in retail, healthcare, pharmaceuticals and supply chain management. The advent ...
Thanh Tran 0002, Charles Sutton, Richard Cocci, Ya...
WSNA
2003
ACM
11 years 6 months ago
Cleaning and querying noisy sensors
Sensor networks have become an important source of data with numerous applications in monitoring various real-life phenomena as well as industrial applications and traffic contro...
Eiman Elnahrawy, Badri Nath
ICDT
2001
ACM
153views Database» more  ICDT 2001»
11 years 5 months ago
Estimating Range Queries Using Aggregate Data with Integrity Constraints: A Probabilistic Approach
In fast OLAP applications it is often advantageous to provide approximate answers to range queries in order to achieve very high performances. A possible solution is to inquire sum...
Francesco Buccafurri, Filippo Furfaro, Domenico Sa...
ICDE
2008
IEEE
563views Database» more  ICDE 2008»
13 years 1 months ago
Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data
In applications like location-based services, sensor monitoring and biological databases, the values of the database items are inherently uncertain in nature. An important query fo...
Reynold Cheng, Jinchuan Chen, Mohamed F. Mokbel, C...
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