78 search results - page 5 / 16 » High Performance Data Mining Using the Nearest Neighbor Join |
SADM
2010
13 years 2 months ago
2010
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
ICDE
2008
IEEE
15 years 7 months ago
2008
IEEE
In applications like location-based services, sensor monitoring and biological databases, the values of the database items are inherently uncertain in nature. An important query fo...
WAIM
2009
Springer
13 years 12 months ago
2009
Springer
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
ICDE
2007
IEEE
14 years 8 months ago
2007
IEEE
A k-nearest neighbor (k-NN) query retrieves k objects from a database that are considered to be the closest to a given query point. Numerous techniques have been proposed in the p...
BMCBI
2008
13 years 7 months ago
2008
Background: Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations...