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» Tie-breaking strategies for fast distance join processing
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DKE
2002
94views more  DKE 2002»
13 years 4 months ago
Tie-breaking strategies for fast distance join processing
The distance join is a spatial join that finds pairs of closest objects in the order of distance by associating two spatial data sets. The distance join stores node pairs in a pri...
Hyoseop Shin, Bongki Moon, Sukho Lee
MDM
2009
Springer
118views Communications» more  MDM 2009»
13 years 11 months ago
DigestJoin: Exploiting Fast Random Reads for Flash-Based Joins
Abstract—Flash disks have been an emerging secondary storage media. In particular, there have been portable devices, multimedia players and laptop computers that are configured ...
Yu Li, Sai Tung On, Jianliang Xu, Byron Choi, Haib...
ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
13 years 9 months ago
High Performance Data Mining Using the Nearest Neighbor Join
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Christian Böhm, Florian Krebs
ICDE
2008
IEEE
163views Database» more  ICDE 2008»
14 years 5 months ago
Approximate Joins for Data-Centric XML
In data integration applications, a join matches elements that are common to two data sources. Often, however, elements are represented slightly different in each source, so an app...
Nikolaus Augsten, Michael H. Böhlen, Curtis E...
DASFAA
2006
IEEE
183views Database» more  DASFAA 2006»
13 years 10 months ago
Probabilistic Similarity Join on Uncertain Data
An important database primitive for commonly used feature databases is the similarity join. It combines two datasets based on some similarity predicate into one set such that the n...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...