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SIGMOD
2007
ACM
225views Database» more  SIGMOD 2007»
15 years 10 months ago
From complete to incomplete information and back
Incomplete information arises naturally in numerous data management applications. Recently, several researchers have studied query processing in the context of incomplete informat...
Lyublena Antova, Christoph Koch, Dan Olteanu
ECSQARU
2005
Springer
15 years 3 months ago
Hydrologic Models for Emergency Decision Support Using Bayesian Networks
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...
Martín Molina, Raquel Fuentetaja, Luis Garr...
ICDE
2010
IEEE
204views Database» more  ICDE 2010»
15 years 4 months ago
ProbClean: A probabilistic duplicate detection system
— One of the most prominent data quality problems is the existence of duplicate records. Current data cleaning systems usually produce one clean instance (repair) of the input da...
George Beskales, Mohamed A. Soliman, Ihab F. Ilyas...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
CORR
2010
Springer
138views Education» more  CORR 2010»
14 years 10 months ago
A Logical Temporal Relational Data Model
Time is one of the most difficult aspects to handle in real world applications such as database systems. Relational database management systems proposed by Codd offer very little ...
Nadeem Mahmood, Aqil Burney, Kamran Ahsan