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» Predicting query performance
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244
Voted
KES
2007
Springer
16 years 1 months ago
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
Nicola Fanizzi, Claudia d'Amato
ICDE
2010
IEEE
240views Database» more  ICDE 2010»
15 years 11 months ago
Top-K aggregation queries over large networks
Searching and mining large graphs today is critical to a variety of application domains, ranging from personalized recommendation in social networks, to searches for functional ass...
Xifeng Yan, Bin He, Feida Zhu, Jiawei Han
231
Voted
PET
2010
Springer
15 years 9 months ago
Achieving Efficient Query Privacy for Location Based Services
Mobile smartphone users frequently need to search for nearby points of interest from a location based service, but in a way that preserves the privacy of the users' locations...
Femi G. Olumofin, Piotr K. Tysowski, Ian Goldberg,...
276
Voted
ICDE
2012
IEEE
269views Database» more  ICDE 2012»
13 years 9 months ago
A Deep Embedding of Queries into Ruby
—We demonstrate SWITCH, a deep embedding of relational queries into RUBY and RUBY on RAILS. With SWITCH, there is no syntactic or stylistic difference between RUBY programs that ...
Torsten Grust, Manuel Mayr
GIS
2006
ACM
16 years 8 months ago
Exploiting a page-level upper bound for multi-type nearest neighbor queries
Given a query point and a collection of spatial features, a multi-type nearest neighbor (MTNN) query finds the shortest tour for the query point such that only one instance of eac...
Xiaobin Ma, Shashi Shekhar, Hui Xiong, Pusheng Zha...