In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
With the exponential growth of moving objects data to the Gigabyte range, it has become critical to develop effective techniques for indexing, updating, and querying these massive ...
Jens Dittrich, Lukas Blunschi, Marcos Antonio Vaz ...
Indoor spaces accommodate large populations of individuals. The continuous range monitoring of such objects can be used as a foundation for a wide variety of applications, e.g., s...
It is difficult to maintain the exact location of mobile objects due to the limited resources in a mobile network. A consequence of this problem is that the update cost for a locat...
Abstract Existing spatiotemporal indexes suffer from either large update cost or poor query performance, except for the Bx -tree (the state-of-the-art), which consists of multiple ...