A foundation for spatio-textual-temporal cube analytics

Mohsin Iqbal*, Matteo Lissandrini, Torben Bach Pedersen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Original languageEnglish
Article number102009
JournalInformation Systems
ISSN0306-4379
DOIs
Publication statusPublished - 2022

Bibliographical note

Funding Information:
This research is partially funded by the European Commission through the Erasmus Mundus Joint Doctorate Information Technologies for Business Intelligence ( EM IT4BI-DC ), the Danish Council for Independent Research (DFF) under grant agreement no. DFF-8048-00051B , Aalborg University’s Talent Programme , and the Poul Due Jensen Foundation . Furthermore, Matteo Lissandrini is supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 838216 .

Funding Information:
This research is partially funded by the European Commission through the Erasmus Mundus Joint Doctorate Information Technologies for Business Intelligence (EM IT4BI-DC), the Danish Council for Independent Research (DFF) under grant agreement no. DFF-8048-00051B, Aalborg University's Talent Programme, and the Poul Due Jensen Foundation. Furthermore, Matteo Lissandrini is supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sk?odowska-Curie grant agreement No 838216.

Publisher Copyright:
© 2022 The Authors

Keywords

  • Data cube
  • OLAP
  • Spatial analytics
  • Spatial-textual-temporal measures
  • Spatio-textual-temporal data
  • Textual analytics

Fingerprint

Dive into the research topics of 'A foundation for spatio-textual-temporal cube analytics'. Together they form a unique fingerprint.

Cite this