Reconstruction of a decision tree with learning examples generated from an original tree and its characteristics

Mathematics

• Attribute 44%
• Computational Cost 15%
• Context 9%
• Decision tree 100%
• Experiment 11%
• Learning 71%
• Meaning 14%
• Path Length 39%
• Percent 18%
• Range of data 9%
• Shortest path 16%
• Vertex of a graph 8%

Engineering & Materials Science

• Decision trees 75%
• Set theory 8%