Name
Title | ||
|---|---|---|
Cross-cultural and Environmental Data Analysis in Data Mining Processes for a Global Resilient Society. |
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/978-1-61499-611-8-281 | FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS |
Keywords | Field | DocType |
Context-dependent differential computation,cross-cultural data,environmental data,data mining processes,context computing,environmental ICT,globalisation | Data mining,Cross-cultural,Environmental data,Globalization,Mathematics | Conference |
Volume | ISSN | Citations |
280 | 0922-6389 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasushi Kiyoki | 1 | 596 | 148.12 |
| Xing Chen | 2 | 9 | 6.98 |
| Anneli Heimbürger | 3 | 45 | 13.95 |
| Petchporn Chawakitchareon | 4 | 0 | 5.75 |
| Virach Sornlertlamvanich | 5 | 148 | 37.14 |