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[Information flow processing applications need to process a huge volume of continuous data streams. They are pushing traditional database, data warehousing and data miningData mining technologies beyond their limits due to their massively increasing data volumes and demands for real-time...
[Spatio-temporal stream processing in general refers to a class of software systems for processing of high volume spatio-temporal data streams with very low latency, i.e. in near real-time. Motivated by the limitation of DBMSDBMS, the database community developed data stream management systems...
[Recent rapid development of wireless communication, mobile computing, global navigational satellite systems (GNSS), and spatially enabled sensors is leading to an exponential growth of available spatio-temporal data produced continuously at hight speed. Spatio-temporal data streams, i.e....
[Spatio-temporal data streams are huge amounts of data pertaining to time and position of moving objects. Mining such amount of data is a challenging problem, since the possibility to extract useful information from this peculiar kind of data is crucial in many RFIP application scenarios....
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