An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining
Year of publication: |
May 2018
|
---|---|
Authors: | Thöni, Andreas ; Taudes, Alfred ; Tjoa, A Min |
Published in: |
Information systems and e-business management : ISeB. - New York, NY [u.a.] : Springer, ISSN 1617-9846, ZDB-ID 2069863-X. - Vol. 16.2018, 2, p. 443-476
|
Subject: | Social sustainability | Supply chain risk management | Child labor | Bayesian network risk model | Text mining | Data Mining | Data mining | Bayes-Statistik | Bayesian inference | Kinderarbeit | Child labour | Lieferkette | Supply chain | Risikomanagement | Risk management | Text |
-
Big data analytics for supply chain risk management : research opportunities at process crossroads
Assis Santos, Leonardo de, (2022)
-
Feature weighted naïve Bayes algorithm for information retrieval of enterprise systems
Wang, Li, (2014)
-
Textual data science for logistics and supply chain management
Treiblmaier, Horst, (2021)
- More ...
-
Browsing and visualization of semantic web content : from web to the desktop
Khusro, Shah, (2007)
-
Use case driven requirements analysis for data warehouse systems
List, Beate, (2000)
-
List, Beate, (2000)
- More ...