Cross-cultural and Environmental Data Analysis in Data Mining Processes for a Global Resilient Society

Yasushi Kiyoki, Xing Chen, Anneli Heimbürger, Petchporn Chawakitchareon, Virach Sornlertlamvanich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Humankind faces a most crucial mission; we must endeavour, on a global scale, to restore and improve our natural and social environments. In this environmental study, we will use context-dependent differential computation to analyse changes in various factors (temperatures, colours, level of CO2, habitats, sea levels, coral areas, etc.). In this paper, we will discuss a global environmental computing methodology for analysing the diversity of nature and animals, using a large amount of information on global environments.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXVII
PublisherIOS Press
Pages281-298
Number of pages18
Volume280
ISBN (Print)9781614996101
DOIs
Publication statusPublished - 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume280
ISSN (Print)09226389

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Keywords

  • context computing
  • Context-dependent differential computation
  • cross-cultural data
  • data mining processes
  • environmental data
  • environmental ICT
  • globalisation

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Kiyoki, Y., Chen, X., Heimbürger, A., Chawakitchareon, P., & Sornlertlamvanich, V. (2016). Cross-cultural and Environmental Data Analysis in Data Mining Processes for a Global Resilient Society. In Information Modelling and Knowledge Bases XXVII (Vol. 280, pp. 281-298). (Frontiers in Artificial Intelligence and Applications; Vol. 280). IOS Press. https://doi.org/10.3233/978-1-61499-611-8-281