Chapter Unsupervised spatial data mining for the development of future scenarios: a Covid-19 application
In the context of Futures Studies, the scenario development process permits to make assumptions on what the futures can be in order to support better today decisions. In the initial stages of the scenario building (Framing and Scanning phases), the process requires much time and efforts to scanning...
Saved in:
Main Author: | Calleo, Yuri (auth) |
---|---|
Other Authors: | Di Zio, Simone (auth) |
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Florence
Firenze University Press
2021
|
Series: | Proceedings e report
132 |
Subjects: | |
Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Chapter Unsupervised spatial data mining for the development of future scenarios: a Covid-19 application
by: Calleo, Yuri
Published: (2021) -
Chapter A Natural Language Processing approach to measure expertise in the Delphi-based scenarios
by: Calleo, Yuri
Published: (2023) -
Chapter A Natural Language Processing approach to measure expertise in the Delphi-based scenarios
by: Calleo, Yuri
Published: (2023) -
Text- und Data-Mining Die Anforderungen digitaler Forschungsmethoden an ein innovations- und wissenschaftsfreundliches Urheberrecht
by: Kleinkopf, Felicitas Lea
Published: (2022) -
Chapter Connecting to the future Using serious games and scenario development for responsible design
by: Kousi, Nefeli
Published: (2023)