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» MayBMS: a probabilistic database management system
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SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
15 years 9 months ago
URank: formulation and efficient evaluation of top-k queries in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between query scores and data uncertainty ma...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
15 years 9 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...
74
Voted
IPMU
2010
Springer
14 years 11 months ago
Evidential Combination of Multiple HMM Classifiers for Multi-script Handwritting Recognition
In this work, we focus on an improvement of a multi-script handwritting recognition system using a HMM based classifiers combination. The improvement relies on the use of Dempster-...
Yousri Kessentini, Thomas Burger, Thierry Paquet
186
Voted
SIGMOD
2007
ACM
108views Database» more  SIGMOD 2007»
15 years 9 months ago
Provenance in databases
The provenance of data has recently been recognized as central to the trust one places in data. It is also important to annotation, to data integration and to probabilistic databa...
Peter Buneman, Wang Chiew Tan
148
Voted
SIGMOD
2006
ACM
156views Database» more  SIGMOD 2006»
15 years 9 months ago
MauveDB: supporting model-based user views in database systems
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
Amol Deshpande, Samuel Madden