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Continuous K nearest neighbor queries (CKNN) on moving objects retrieves among all moving objects the K-Nearest Neighbors (KNNs) of a moving query point within a given time interval. Since the frequent updates of object locations make it complicated to process CKNN, the cost for retrieving the exact CKNN data set is expensive, particularly in highly dynamic spatio-temporal applications. In some applications...
In many applications like moving-objects and sensors databases, data values are inherently uncertain. In these systems, an attribute value can be modeled as a range of possible values, associated with a probability density function. Data mining of the uncertain data attracts more and more research interest recently. The definitions of probabilistic core object and probabilistic density-reachability...
With the increasing popularity of wireless sensor network and GPS technologies, uncertain data as a new type of data bring new challenge for the data processing methods. Data broadcasting is an effective means for data dissemination in mobile computing environment. Definition of the mean uncertainty ratio of data is presented and a broadcasting scheme UDBS is proposed for uncertain data dissemination...
Recent advances in wireless sensor network and GPS have made constantly-evolving data a new type of data which bring new challenge for the data processing methods. Data broadcasting is an effective means for data dissemination in an asymmetric communication network, like wireless network. Definition of the mean uncertainty ratio of data is presented and an on-line broadcasting scheme CEDB is proposed...
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