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» Querying Probabilistic Information Extraction
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SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
14 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...
ICDE
1996
IEEE
120views Database» more  ICDE 1996»
14 years 10 months ago
Towards the Reverse Engineering of Denormalized Relational Databases
This paper describes a method to cope with denormalized relational schemas in a database reverse engineering process. We propose two main steps to irnprove the understanding of da...
Jean-Marc Petit, Farouk Toumani, Jean-Franç...
KDD
1997
ACM
111views Data Mining» more  KDD 1997»
14 years 1 months ago
SIPping from the Data Firehose
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...
George H. John, Brian Lent
WS
2010
ACM
13 years 7 months ago
Structured literature image finder: Parsing text and figures in biomedical literature
The SLIF project combines text-mining and image processing to extract structured information from biomedical literature. SLIF extracts images and their captions from published pap...
Amr Ahmed, Andrew Arnold, Luís Pedro Coelho...
IPM
2002
107views more  IPM 2002»
13 years 8 months ago
Combining evidence for automatic Web session identification
Contextual information provides an important basis for identifying and understanding users' information needs. Our previous work in traditional information retrieval systems ...
Daqing He, Ayse Göker, David J. Harper