From knowledge discovery to implementation: A business intelligence approach using neural network rule extraction and decision tables
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Saved in:
Main Authors: | Mues, C., Baesens, B., Setiono, R., Vanthienen, J. |
---|---|
Other Authors: | INFORMATION SYSTEMS |
Format: | Conference or Workshop Item |
Published: |
2013
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/42848 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Using neural network rule extraction and decision tables for credit-risk evaluation
by: Baesens, B., et al.
Published: (2013) -
Recursive neural network rule extraction for data with mixed attributes
by: Setiono, R., et al.
Published: (2013) -
Rule extraction from minimal neural networks for credit card screening
by: Setiono, R., et al.
Published: (2013) -
A note on knowledge discovery using neural networks and its application to credit card screening
by: Setiono, R., et al.
Published: (2013) -
Risk management and regulatory compliance: A data mining framework based on neural network rule extraction
by: Setiono, R., et al.
Published: (2013)