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VLDB
1997
ACM
117views Database» more  VLDB 1997»
13 years 8 months ago
Finding Data in the Neighborhood
In this paper, we present and evaluate alternative techniques to effect the use of location-independent identiļ¬ers in distributed database systems. Location-independent identiļ¬...
André Eickler, Alfons Kemper, Donald Kossma...
BMCBI
2007
134views more  BMCBI 2007»
13 years 4 months ago
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
ICPR
2002
IEEE
14 years 5 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin
IEEECIT
2010
IEEE
13 years 3 months ago
Parallel Best Neighborhood Matching Algorithm Implementation on GPU Platform
ā€”Error concealment restores the visual integrity of image content that has been damaged due to a bad network transmission. Best neighborhood matching (BNM) is an effective image ...
Guangyong Zhang, Liqiang He, Yanyan Zhang
WISE
2010
Springer
13 years 2 months ago
Neighborhood-Restricted Mining and Weighted Application of Association Rules for Recommenders
Abstract. Association rule mining algorithms such as Apriori were originally developed to automatically detect patterns in sales transactions and were later on also successfully ap...
Fatih Gedikli, Dietmar Jannach