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Direction-preserving trajectory simplification
Trajectories of moving objects are collected in many applications. Raw trajectory data is
typically very large, and has to be simplified before use. In this paper, we introduce the …
typically very large, and has to be simplified before use. In this paper, we introduce the …
An efficient query indexing mechanism for filtering geo-textual data
Massive amount of data that are geo-tagged and associated with text information are being
generated at an unprecedented scale. Users may want to be notified of interesting geo …
generated at an unprecedented scale. Users may want to be notified of interesting geo …
Spatio-temporal access methods: a survey (2010-2017)
The volume of spatio-temporal data is growing at a rapid pace due to advances in location-
aware devices, eg, smartphones, and the popularity of location-based services, eg …
aware devices, eg, smartphones, and the popularity of location-based services, eg …
A survey of spatio-temporal big data indexing methods in distributed environment
With the widespread use of mobile and sensing devices, and the popularity of online map-
based services, such as navigation services, the volume of spatio-temporal data is growing …
based services, such as navigation services, the volume of spatio-temporal data is growing …
[PDF][PDF] FLIRT: A Fast Learned Index for Rolling Time frames.
Efficiently managing and querying sliding windows is a key component in stream processing
systems. Conventional index structures such as the B+ Tree are not efficient for handling a …
systems. Conventional index structures such as the B+ Tree are not efficient for handling a …
Disk-based indexing of recent trajectories
The plethora of location-aware devices has led to countless location-based services in
which huge amounts of spatiotemporal data get created every day. Several applications …
which huge amounts of spatiotemporal data get created every day. Several applications …
Indexing recent trajectories of moving objects
The plethora of lacation-aware devices has led to countless location-based services in
which huge amounts of spatio-temporal data get created everyday. Several applications …
which huge amounts of spatio-temporal data get created everyday. Several applications …
Skewness‐aware clustering tree for unevenly distributed spatial sensor nodes in smart city
Efficient spatial index is essential for querying spatial sensor nodes in the context of smart
city. Sensor nodes are usually unevenly distributed in real situations. In this setting, R‐tree …
city. Sensor nodes are usually unevenly distributed in real situations. In this setting, R‐tree …
On velocity-preserving trajectory simplification
JJC Ying, JH Su - Intelligent Information and Database Systems: 8th …, 2016 - Springer
Trajectory data plays crucial role in many real-world applications with moving objects. The
size of trajectory dataset is always very huge because of high sampling rate. Therefore, it is …
size of trajectory dataset is always very huge because of high sampling rate. Therefore, it is …
Method and apparatus for managing call data
P Kenington, NJ Randell, C Drawater - US Patent 9,282,197, 2016 - Google Patents
(57) ABSTRACT A data management system and method of managing call data for at least
one radio network element within a cellular com munication network. The method comprises …
one radio network element within a cellular com munication network. The method comprises …