Name
Title | ||
|---|---|---|
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases |
Abstract | ||
|---|---|---|
In the last decade research in Machine Learning has de- veloped a variety of powerful tools for inductive learning a nd data analysis. On the other hand, research in International Rela tions has developed a variety of different conflict databases that are mostly analyzed with classical statistical methods. As these data bases are in general of a symbolic nature, they provide an interesting do main for application of Machine Learning algorithms. This paper gives a short overview of available conflict databases and subsequently c oncen- trates on the application of machine learning methods for th e analysis and interpretation of the CONFMAN mediation dataset. |
Year | Venue | Keywords |
|---|---|---|
1996 | ECAI | data analysis,machine learning |
Field | DocType | Citations |
Data science,International relations,Digging,Computer science,Mediation (Marxist theory and media studies),Artificial intelligence,Database,Machine learning | Conference | 5 |
PageRank | References | Authors |
0.75 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Trappl | 1 | 141 | 32.63 |
| Johannes Fürnkranz | 2 | 2476 | 222.90 |
| Johann Petrak | 3 | 148 | 11.09 |