A reverse nearest neighbor query returns the data objects that have a query point as their nearest neighbor. Although such queries have been studied quite extensively in Euclidean spaces, there is no previous work in the context of large graphs. In this paper, we propose algorithms and optimization techniques for RNN queries by utilizing some characteristics of networks. Introduction-Motivation Given a multi-dimensional dataset P and a point q, a (monochromatic) reverse nearest neighbor (RNN) query retrieves all the points p∈P that have q as their nearest neighbor. Given two datasets P and Q and a point q,
Abstract: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the ...
Given a set of objects and a query q, a point p is called the reverse k nearest neighbor (RkNN) of q...
Reverse nearest neighbor (RNN) search is very crucial in many real applications. In particular, give...
A reverse nearest neighbor (RNN) query returns the data objects that have a query point as their nea...
A reverse nearest neighbor query returns the data objects that have a query point as their nearest n...
A reverse nearest neighbor (RNN) query returns the data objects that have a query point as their nea...
Given an object q, modeled by a multidimensional point, a reverse nearest neighbors (RNN) query retu...
Given an object q, modeled by a multidimensional point, a reverse nearest neighbors (RNN) query retu...
Given a multi-dimensional point q, a reverse k nearest neighbor (RkNN) query retrieves all the data ...
In this paper, we study the problem of continuous monitoring of reverse k nearest neighbors queries ...
With the proliferation of wireless communications and the rapid advances in technologies for trackin...
Abstract — Reverse nearest neighbor (RNN) queries have a broad application base such as decision sup...
Given a set D of objects, a reverse nearest neighbor (RNN) query returns the objects o in D such tha...
With the increasing popularity of social networks, large volumes of graph data are becoming availabl...
In this paper, we propose and investigate a novel spatial query called Reverse Path Nearest Neighbor...
Abstract: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the ...
Given a set of objects and a query q, a point p is called the reverse k nearest neighbor (RkNN) of q...
Reverse nearest neighbor (RNN) search is very crucial in many real applications. In particular, give...
A reverse nearest neighbor (RNN) query returns the data objects that have a query point as their nea...
A reverse nearest neighbor query returns the data objects that have a query point as their nearest n...
A reverse nearest neighbor (RNN) query returns the data objects that have a query point as their nea...
Given an object q, modeled by a multidimensional point, a reverse nearest neighbors (RNN) query retu...
Given an object q, modeled by a multidimensional point, a reverse nearest neighbors (RNN) query retu...
Given a multi-dimensional point q, a reverse k nearest neighbor (RkNN) query retrieves all the data ...
In this paper, we study the problem of continuous monitoring of reverse k nearest neighbors queries ...
With the proliferation of wireless communications and the rapid advances in technologies for trackin...
Abstract — Reverse nearest neighbor (RNN) queries have a broad application base such as decision sup...
Given a set D of objects, a reverse nearest neighbor (RNN) query returns the objects o in D such tha...
With the increasing popularity of social networks, large volumes of graph data are becoming availabl...
In this paper, we propose and investigate a novel spatial query called Reverse Path Nearest Neighbor...
Abstract: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the ...
Given a set of objects and a query q, a point p is called the reverse k nearest neighbor (RkNN) of q...
Reverse nearest neighbor (RNN) search is very crucial in many real applications. In particular, give...