With the advances in mobile computing, wireless communication, and positioning technologies, many applications (such as traffic control, business trade, logistics, weather forecast, digital battlefield, etc.) accumulate a huge mass of spatial data. It is imperative for people to analyse the data, find the implicit knowledge and make a right dicision. Spatial database has become one
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With the rapid development of remote sensing, GIS, computer technology, communications technology and so on,spatial database technology continues to mature, now it is being applied widely in different field.As an important component of spatial database,the query efficiency of spatial query has been become a bottleneck in the performance of spatial database. As an important technology
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In recent years, mobile devices and widespread wireless networks have brought a proliferation of location-based services (LBS) applications. Location related queries play an important role in LBS. One important query type is the (monochromatic) reverse k-nearest neighbor (RkNN) queries that can find the objects whose k-nearest neighbor includes the query point. With the development of
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Time series is a sequence data formed by sampling at discrete time and has a large difference from the other data. It exists in many domains, for example, biomedicine, finance, meteorology, natural science, etc. Time series processing is regarded as a very important and valuable technology. At present, it has obtained many successful applications in
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