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» Spark: top-k keyword query in relational databases
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SIGMOD
2003
ACM
136views Database» more  SIGMOD 2003»
14 years 11 months ago
A Characterization of the Sensitivity of Query Optimization to Storage Access Cost Parameters
Most relational query optimizers make use of information about the costs of accessing tuples and data structures on various storage devices. This information can at times be off b...
Frederick Reiss, Tapas Kanungo
GIS
2007
ACM
14 years 12 months ago
Partition-based lazy updates for continuous queries over moving objects
Continuous spatial queries posted within an environment of moving objects produce as their results a time-varying set of objects. In the most ambitious case both queries and data ...
Yu-Ling Hsueh, Roger Zimmermann, Haojun Wang, Wei-...
ICDT
2010
ACM
211views Database» more  ICDT 2010»
14 years 8 months ago
Probabilistic Data Exchange
The work reported here lays the foundations of data exchange in the presence of probabilistic data. This requires rethinking the very basic concepts of traditional data exchange, ...
Ronald Fagin, Benny Kimelfeld, Phokion Kolaitis
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 11 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
BMCBI
2005
152views more  BMCBI 2005»
13 years 10 months ago
Ranking the whole MEDLINE database according to a large training set using text indexing
Background: The MEDLINE database contains over 12 million references to scientific literature, ut 3/4 of recent articles including an abstract of the publication. Retrieval of ent...
Brian P. Suomela, Miguel A. Andrade