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A reverse k-nearest neighbor (RkNN) query returns the data objects that have the query object in the set of their k-nearest neighbors. It is the complementary problem to that of finding the k-nearest neighbors (kNN) of a query object.
Abstract: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query ...
The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, ...
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Abstract—Given a set of objects and a query q, a point p is called the reverse k nearest neighbor (RkNN) of q if q is one of the k closest objects of p.
May 31, 2007 · The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified ...
The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, ...
Jun 16, 2015 · Abstract:"Reverse Nearest Neighbor" query finds applications in decision support systems, profile-based marketing, emergency services etc.
Missing: Estimation. | Show results with:Estimation.
It is shown that the first approach for efficient approximative RkNN search in arbitrary metric spaces scales significantly better than existing ...
Jun 29, 2006 · ABSTRACT. The reverse k-nearest neighbor (RkNN) problem, i.e. find- ing all objects in a data set the k-nearest neighbors of which.
Reverse k-nearest neighbours, kNN distance estimation. 1. INTRODUCTION. The reverse k-Nearest Neighbors (RkNN) query aims to find points in a data set that ...