Data-driven approaches for spatio-temporal analysis: a survey of the state-of-the-arts
With the advancement of telecommunications, sensor networks, crowd sourcing, and remote sensing technology in present days, there has been a tremendous growth in the volume of data having both spatial and temporal references. This huge volume of available spatio-temporal (ST) data along with the rec...
Saved in:
Main Authors: | Das, Monidipa, Ghosh, Soumya K. |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/161147 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A framework for mining topological patterns in spatio-temporal databases
by: Wang, J., et al.
Published: (2013) -
Association pattern mining in spatio-temporal databases
by: WANG JUNMEI
Published: (2010) -
Semi-Lazy Learning Approach to Dynamic Spatio-Temporal Data Analysis
by: ZHOU JINGBO
Published: (2014) -
Spatio-temporal phrases for activity recognition
by: Zhang Y., et al.
Published: (2018) -
Spatio-temporal analysis of climate change parameters using satellite data for the southeast Asian region
by: Liew, S.C., et al.
Published: (2014)