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Policy Clusters: Government’s Agenda Across Policies and Time
H. Rahmani
*
,
C.U. Arnold
*
Corresponding author for this work
Europe: Society, Politics and Global Order
Political Science
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Computer Science
Aggregated Data
100%
Real-World Problem
100%
Political Agenda
100%
Search Space
100%
Intermediate Type
100%
Machine Learning
100%
Learning System
100%
Hierarchical Clustering
100%
Keyphrases
Policy Area
100%
Public Agenda
100%
Search Space
25%
Political Agenda
25%
Irish Government
25%
Learning Research
25%
Limited Resources
25%
Machine Learning
25%
Hierarchical Clustering
25%
Intermediate Type
25%
Informative Patterns
25%
Data Analysis Methods
25%
Policy Analysis
25%
Real-world Problems
25%
Intermediate Approach
25%
Data Analysis Algorithms
25%
Mathematics
World Problems
100%
Hierarchical Clustering
100%
Search Space
100%
Aggregated Data
100%
Algorithm Analysis
100%
Social Sciences
Policy Area
100%
Political Agenda
25%
Policy Analysis
25%
Time Period
25%
World Problems
25%
INIS
policy
100%
data analysis
20%
algorithms
10%
resources
10%
space
10%
evaluation
10%
coverings
10%
machine learning
10%
Economics, Econometrics and Finance
Machine Learning
100%