Density queries are of practical importance in many mobility related applications. In this paper, we employ the location sensors, which are placed in a geographical area and can only detect the amount of objects moving in vicinity, to estimate the dense regions of objects. Our approach partitions the region of interest into subregions, and deploys in each subre-gion both location sensors and a processing node that issues and answers density queries. Three algorithms are proposed to process density queries on those processing nodes. Their accuracy and efficiency are empirically evaluated
There are many techniques available in the field of data mining and its subfield spatial data mining...
i We develop a kernel density estimation method for estimating the density of points on a network an...
One of the main categories in Data Clustering is density based clustering. Density based clustering ...
In this paper, we study a newly emerging type of queries on moving objects - the density query. Basi...
Abstract. Recent research has focused on density queries for moving objects in highly dynamic scenar...
Abstract. Recent research has focused on density queries for moving objects in highly dynamic scenar...
Monitoring dense areas, where the density of moving ob-jects is higher than the given threshold, has...
Moving object databases have received considerable attention recently. Previous work has concentrate...
Geographical databases are available to date containing detailed and georeferenced data on populatio...
Moving object databases have received considerable attention recently. Previous work has concentrate...
This paper introduces a simple and efficient density estimator that enables fast systematic search. ...
Trajectories capture the movements of objects with multiple attributes. A visualization method calle...
With widespread availability of low cost GPS, cellular phones, satellite imagery, robotics, Web traf...
Density based clustering algorithm is one of the primary methods for clustering in data mining. The ...
Abstract — The ubiquity of mobile devices has led to a rising demand for location-based services and...
There are many techniques available in the field of data mining and its subfield spatial data mining...
i We develop a kernel density estimation method for estimating the density of points on a network an...
One of the main categories in Data Clustering is density based clustering. Density based clustering ...
In this paper, we study a newly emerging type of queries on moving objects - the density query. Basi...
Abstract. Recent research has focused on density queries for moving objects in highly dynamic scenar...
Abstract. Recent research has focused on density queries for moving objects in highly dynamic scenar...
Monitoring dense areas, where the density of moving ob-jects is higher than the given threshold, has...
Moving object databases have received considerable attention recently. Previous work has concentrate...
Geographical databases are available to date containing detailed and georeferenced data on populatio...
Moving object databases have received considerable attention recently. Previous work has concentrate...
This paper introduces a simple and efficient density estimator that enables fast systematic search. ...
Trajectories capture the movements of objects with multiple attributes. A visualization method calle...
With widespread availability of low cost GPS, cellular phones, satellite imagery, robotics, Web traf...
Density based clustering algorithm is one of the primary methods for clustering in data mining. The ...
Abstract — The ubiquity of mobile devices has led to a rising demand for location-based services and...
There are many techniques available in the field of data mining and its subfield spatial data mining...
i We develop a kernel density estimation method for estimating the density of points on a network an...
One of the main categories in Data Clustering is density based clustering. Density based clustering ...