AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing.

Wang F, Yao D, Li Y, Sun T, Zhang Z

DOI: 10.1016/j.xinn.2023.100405
Published: 2023 Mar 13
Container: Innovation (Cambridge (Mass.))
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.xinn.2023.100405,
  title = {AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing.},
  author = {Wang F and Yao D and Li Y and Sun T and Zhang Z},
  year = {2023},
  journal = {Innovation (Cambridge (Mass.))},
  doi = {10.1016/j.xinn.2023.100405},
  url = {https://doi.org/10.1016/j.xinn.2023.100405}
}

RIS

TY  - JOUR
TI  - AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing.
AU  - Wang F
AU  - Yao D
AU  - Li Y
AU  - Sun T
AU  - Zhang Z
PY  - 2023
JO  - Innovation (Cambridge (Mass.))
DO  - 10.1016/j.xinn.2023.100405
UR  - https://doi.org/10.1016/j.xinn.2023.100405
ER  -

APA

F, W., D, Y., Y, L., T, S., & Z, Z. (2023). AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing.. Innovation (Cambridge (Mass.)). https://doi.org/10.1016/j.xinn.2023.100405

Source records

pubmed · retrieved 2026-11-10T06:13:32.646Z