Titlebook: Advances in Spatial and Temporal Databases; 10th International S Dimitris Papadias,Donghui Zhang,George Kollios Conference proceedings 2007

水槽

Efficiently Mining Regional Outliers in Spatial Data,e database and data mining community. As a very prominent method, the spatial scan statistic finds a region that deviates (most) significantly from the entire dataset. In this paper, we introduce the novel problem of mining regional outliers in spatial data. A spatial regional outlier is a rectangul

Minikin

A Two Round Reporting Approach to Energy Efficient Interpolation of Sensor Fields,research. However, aggregated values of a sensor field are of limited use in natural science domains because many phenomena, e.g., temperature and soil moisture, are actually continuous and thus best represented as a continuous surface over the sensor fields. Energy efficient collection of readings

Fibrillation

atopic-rhinitis

Spatial Partition Graphs: A Graph Theoretic Model of Maps,ise spatial data type for . for use in spatial systems. In this paper, we consider a subclass of map geometries known as . that are able to model maps containing region features. However, spatial partitions are defined using concepts such as infinite point sets that cannot be directly represented in

Amenable

Geographic Ontology Matching with ,,them. In this paper we define a geographic ontology reference model and, from it, the set of heterogeneities that may occur when comparing two geographic ontologies is elaborated, at both the concept and instance-level. Based on the heterogeneities set we then present the ., which consists in a soft

Lasting

大罵

妨礙

Aura231

Enabling Private Continuous Queries for Revealed User Locations,location-based services may lead to several privacy threats ranging from worries over employers snooping on their workers’ whereabouts to fears of tracking by potential stalkers. While there exist several techniques to preserve location privacy in mobile environments, these techniques are limited as

高貴領(lǐng)導(dǎo)

Computing a ,-Route over Uncertain Geographical Data,cating how likely it is for the object to be correct. Uncertain data can be the result of operations such as imprecise integration, incorrect update or inexact querying. A ., over an uncertain geo-spatial dataset, is a path that travels through the geo-spatial objects, starting at a given location a