Rule extraction from neural networks via decision tree induction

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2001, Pages 1870-1875

  Sato, M ^a   Tsukimoto, H ^a  

^a TOSHIBA CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA MINING; DATA STRUCTURES; DATABASE SYSTEMS; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; LEARNING SYSTEMS;

DECISION TREE; INDUCTIVE LEARNING; KNOWLDEGE DISCOVERY; RULE EXTRACTION;

NEURAL NETWORKS;

EID: 0034870004     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Extracting tree-structured representations of trained networks
2. Rule learning by searching on adapted nets
3. Data mining using two-dimensional optimized association rules: Scheme, algorithms, and visualization
4. Some methods for classification and analysis of multi variable observations
5. Generating production rules from decision trees
6. Medical diagnostic expert systems based on pdp model
7. Understanding neural networks via rule extraction
8. Extracting rules from neural networks by pruning and hidden-unit splitting
9. FERNN: An algorithm for fast extraction of rules from neural networks
10. An information theoretic approach to rule induction from databases
11. Mining quantitative association rules in large relational tables
12. Extracting rules from artificial neural networks with distributed representations
13. Extracting refined rules from knowledge-based neural networks
14. Extracting rules from trained neural networks
15. Interestingness-based interval merger for numeric association rules