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» Querying Semi-Structured Data
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WSDM
2009
ACM
163views Data Mining» more  WSDM 2009»
16 years 1 months ago
Tagging with Queries: How and Why?
Web search queries capture the information need of search engine users. Search engines store these queries in their logs and analyze them to guide their search results. In this wo...
Ioannis Antonellis, Hector Garcia-Molina, Jawed Ka...
ICDE
2007
IEEE
135views Database» more  ICDE 2007»
16 years 1 months ago
Cost-Aware Skyline Queries in Structured Overlays
Recently, systems providing access to extremely large data collections, managed in a distributed manner, gain emerging attention. A promising approach to implement the physical la...
Marcel Karnstedt, Jessica Müller, Kai-Uwe Sat...
SSD
2007
Springer
124views Database» more  SSD 2007»
16 years 29 days ago
Querying Objects Modeled by Arbitrary Probability Distributions
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
WEBDB
2005
Springer
107views Database» more  WEBDB 2005»
16 years 9 days ago
Freshness-Aware Scheduling of Continuous Queries in the Dynamic Web
The dynamics of the Web and the demand for new, active services are imposing new requirements on Web servers. One such new service is the processing of continuous queries whose ou...
Mohamed A. Sharaf, Alexandros Labrinidis, Panos K....
189
Voted
PAKDD
2004
ACM
83views Data Mining» more  PAKDD 2004»
16 years 6 days ago
Providing Diversity in K-Nearest Neighbor Query Results
Abstract. Given a point query Q in multi-dimensional space, K-Nearest Neighbor (KNN) queries return the K closest answers in the database with respect to Q. In this scenario, it is...
Anoop Jain, Parag Sarda, Jayant R. Haritsa