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KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 4 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
IPPS
2006
IEEE
15 years 10 months ago
On the impact of data input sets on statistical compiler tuning
In recent years, several approaches have been proposed to use profile information in compiler optimization. This profile information can be used at the source level to guide loo...
Masayo Haneda, Peter M. W. Knijnenburg, Harry A. G...
CGA
1999
15 years 4 months ago
Visualizing Large Telecommunication Data Sets
displays to abstract network data and let users interactwithit.Wehaveimplementedafull-scaleSwift3D prototype, which generated the examples we present here. Swift-3D We developed Sw...
Eleftherios Koutsofios, Stephen C. North, Daniel A...
NAR
2011
248views Computer Vision» more  NAR 2011»
14 years 7 months ago
NCBI GEO: archive for functional genomics data sets - 10 years on
A decade ago, the Gene Expression Omnibus (GEO) database was established at the National Center for Biotechnology Information (NCBI). The original objective of GEO was to serve as...
Tanya Barrett, Dennis B. Troup, Stephen E. Wilhite...
ESA
2011
Springer
252views Algorithms» more  ESA 2011»
14 years 4 months ago
Ray-Shooting Depth: Computing Statistical Data Depth of Point Sets in the Plane
Over the past several decades, many combinatorial measures have been devised for capturing the statistical data depth of a set of n points in R2 . These include Tukey depth [15], O...
Nabil H. Mustafa, Saurabh Ray, Mudassir Shabbir