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
EditorsTatjana Welzer, Yasushi Kiyoki, Naofumi Yoshida, Giuseppe Riva, Brenda K. Wiederhold, Mark D. Wiederhold, Bernhard Thalheim, Hannu Jaakkola
PublisherIOS Press
Pages281-298
Number of pages18
ISBN (Electronic)9781614996101
DOIs
Publication statusPublished - 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume280
ISSN (Print)0922-6389

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence

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