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» Supporting top-k join queries in relational databases
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SIGMOD
2004
ACM
161views Database» more  SIGMOD 2004»
15 years 10 months ago
Approximation Techniques for Spatial Data
Spatial Database Management Systems (SDBMS), e.g., Geographical Information Systems, that manage spatial objects such as points, lines, and hyper-rectangles, often have very high ...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
ICDE
2006
IEEE
193views Database» more  ICDE 2006»
15 years 11 months ago
On Pushing Multilingual Query Operators into Relational Engines
To effectively support today's global economy, database systems need to manage data in multiple languages simultaneously. While current database systems do support the storag...
A. Kumaran, Pavan K. Chowdary, Jayant R. Haritsa
VLDB
2007
ACM
144views Database» more  VLDB 2007»
15 years 3 months ago
A Relational Approach to Incrementally Extracting and Querying Structure in Unstructured Data
There is a growing consensus that it is desirable to query over the structure implicit in unstructured documents, and that ideally this capability should be provided incrementally...
Eric Chu, Akanksha Baid, Ting Chen, AnHai Doan, Je...
VLDB
1995
ACM
194views Database» more  VLDB 1995»
15 years 1 months ago
Eager Aggregation and Lazy Aggregation
Efficient processing of aggregation queries is essential for decision support applications. This paper describes a class of query transformations, called eager aggregation and lat...
Weipeng P. Yan, Per-Åke Larson
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
15 years 4 months ago
SPROUT: Lazy vs. Eager Query Plans for Tuple-Independent Probabilistic Databases
— A paramount challenge in probabilistic databases is the scalable computation of confidences of tuples in query results. This paper introduces an efficient secondary-storage o...
Dan Olteanu, Jiewen Huang, Christoph Koch