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» Conditioning Probabilistic Databases
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SIGMOD
2009
ACM
134views Database» more  SIGMOD 2009»
15 years 11 months ago
Keyword query cleaning using hidden Markov models
In this paper, we consider the problem of keyword query cleaning for structured databases from a probabilistic approach. Keyword query cleaning consists of rewriting the user quer...
Ken Q. Pu
DPD
2010
153views more  DPD 2010»
14 years 8 months ago
Cardinality estimation and dynamic length adaptation for Bloom filters
Abstract Bloom filters are extensively used in distributed applications, especially in distributed databases and distributed information systems, to reduce network requirements and...
Odysseas Papapetrou, Wolf Siberski, Wolfgang Nejdl
INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
15 years 2 months ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
SIGMOD
2006
ACM
156views Database» more  SIGMOD 2006»
15 years 11 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
KDD
2005
ACM
104views Data Mining» more  KDD 2005»
15 years 11 months ago
A hit-miss model for duplicate detection in the WHO drug safety database
The WHO Collaborating Centre for International Drug Monitoring in Uppsala, Sweden, maintains and analyses the world's largest database of reports on suspected adverse drug re...
Andrew Bate, G. Niklas Norén, Roland Orre