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» Joining Interval Data in Relational Databases
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APWEB
2004
Springer
14 years 29 days ago
Improving XML Query Performance Using Social Classes
In a state-of-the-art XML database, an XML query is evaluated as a sequence of structural joins in which positions of data nodes are used to perform each individual structural joi...
Weining Zhang, Douglas Pollok
ICDE
2004
IEEE
179views Database» more  ICDE 2004»
14 years 9 months ago
CrossMine: Efficient Classification Across Multiple Database Relations
Most of today's structured data is stored in relational databases. Such a database consists of multiple relations which are linked together conceptually via entity-relationsh...
Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu
SIGMOD
1994
ACM
106views Database» more  SIGMOD 1994»
13 years 11 months ago
Multi-Step Processing of Spatial Joins
Spatial joins are one of the most important operations for combining spatial objects of several relations. In this paper, spatial join processing is studied in detail for extended...
Thomas Brinkhoff, Hans-Peter Kriegel, Ralf Schneid...
SIGMOD
2009
ACM
250views Database» more  SIGMOD 2009»
14 years 7 months ago
Query processing techniques for solid state drives
Solid state drives perform random reads more than 100x faster than traditional magnetic hard disks, while offering comparable sequential read and write bandwidth. Because of their...
Dimitris Tsirogiannis, Stavros Harizopoulos, Mehul...
SIGMOD
2009
ACM
215views Database» more  SIGMOD 2009»
14 years 7 months ago
Efficient type-ahead search on relational data: a TASTIER approach
Existing keyword-search systems in relational databases require users to submit a complete query to compute answers. Often users feel "left in the dark" when they have l...
Guoliang Li, Shengyue Ji, Chen Li, Jianhua Feng