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Imene Bareche and Ying Xia
The magnitude of highly dynamic spatial data is expanding rapidly due to the instantaneous evolution of mobile technology, resulting in challenges for continuous queries. We propose a novel indexing approach model, namely, the Velocity SpatioTemporal ind...
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Zhenwen He, Chunfeng Zhang, Xiaogang Ma and Gang Liu
Time series data are widely found in finance, health, environmental, social, mobile and other fields. A large amount of time series data has been produced due to the general use of smartphones, various sensors, RFID and other internet devices. How a time...
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Tomoya Kawakami
Sensor data which relate to the specific geographical positions, areas, and time are strongly expected in IoT. The author has studied overlay networks to efficiently process interval queries which have specific time intervals and the actual users tend to...
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