Rule Extraction from Neural Networks and Support Vector Machines for Credit Scoring

Rule Extraction from Neural Networks and Support Vector Machines for Credit Scoring

10.1007/978-3-642-23151-3_13

Saved in:

Bibliographic Details
Main Authors:	Setiono, R., Baesens, B., Martens, D.
Other Authors:	INFORMATION SYSTEMS
Format:	Article
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/77912
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

Similar Items

Rule extraction from support vector machines: An overview of issues and application in credit scoring
by: Martens, D., et al.
Published: (2013)

Rule extraction from minimal neural networks for credit card screening
by: Setiono, R., et al.
Published: (2013)

Using neural network rule extraction and decision tables for credit-risk evaluation
by: Baesens, B., et al.
Published: (2013)

Software effort prediction using regression rule extraction from neural networks
by: Setiono, R., et al.
Published: (2013)

Recursive neural network rule extraction for data with mixed attributes
by: Setiono, R., et al.
Published: (2013)

Rule Extraction from Support Vector Machines
by: Joachim Diederich.
Published: (2017)

Risk management and regulatory compliance: A data mining framework based on neural network rule extraction
by: Setiono, R., et al.
Published: (2013)

From knowledge discovery to implementation: A business intelligence approach using neural network rule extraction and decision tables
by: Mues, C., et al.
Published: (2013)

Extracting M-of-N rules from trained neural networks
by: Setiono, R.
Published: (2013)

A note on knowledge discovery using neural networks and its application to credit card screening
by: Setiono, R., et al.
Published: (2013)

Extracting rules from neural networks by pruning and hidden-unit splitting
by: Setiono, R.
Published: (2014)

Extracting rules from pruned neural networks for breast cancer diagnosis
by: Setiono, R.
Published: (2014)

FERNN: an algorithm for fast extraction of rules from neural networks
by: Setiono, R., et al.
Published: (2013)

Extraction of rules from artificial neural networks for nonlinear regression
by: Setiono, R., et al.
Published: (2013)

Greedy rule generation from discrete data and its use in neural network rule extraction
by: Odajima, K., et al.
Published: (2013)

Keyword extraction using backpropagation neural networks and rule extraction
by: Azcarraga, A., et al.
Published: (2013)

Greedy rule generation from discrete data and its use in neural network rule extraction
by: Odajima, K., et al.
Published: (2013)

Neural network rule extraction and the LED display recognition problem
by: Setiono, R., et al.
Published: (2013)

PEMODELAN RESIKO KREDIT DENGAN PENDEKATAN SUPPORT VECTOR MACHINE SUPPORT VECTOR MACHINE APPROACH TO CREDIT RISK
by: , CHRISTINA EVA NURYANI, et al.
Published: (2012)

Minerva: Sequential covering for rule extraction
by: Huysmans, J., et al.
Published: (2013)

Special issue of the IEEE transactions on neural networks: White box nonlinear prediction models
by: Baesens, B., et al.
Published: (2013)

Keyword extraction using backpropagation neural networks and rule extraction
by: Azcarraga, Arnulfo P., et al.
Published: (2012)

Symbolic rule extraction from neural networks An application to identifying organizations adopting IT
by: Setiono, R., et al.
Published: (2014)

Neural network rule extraction for gaining insight into the characteristics of poverty
by: Azcarraga, Arnulfo P., et al.
Published: (2018)

Neural network training and rule extraction with augmented discretized input
by: Hayashi, Yoichi, et al.
Published: (2016)

Neurolinear: From neural networks to oblique decision rules
by: Setiono, R., et al.
Published: (2014)

MofN rule extraction from neural networks trained with augmented discretized input
by: Setiono, Rudy, et al.
Published: (2014)

Forecasting shared-use vehicle trips with neural networks and support vector machines
by: Cheu, R.L., et al.
Published: (2014)

Quantum machine learning for credit scoring
by: SCHETAKIS, Nikolaos, et al.
Published: (2024)

Extracting the knowledge embedded in support vector machines
by: Fu, X., et al.
Published: (2014)

An approach to generate rules from neural networks for regression problems
by: Setiono, R., et al.
Published: (2013)

A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders
by: Hayashi, Y., et al.
Published: (2013)

Robust training algorithm of neural network and support vector machine for pattern recognition and control
by: Hu, Wenjie.
Published: (2008)

Protein secondary sturcture prediction using artifical neural networks and support vectors machines
by: Jin, Guosheng
Published: (2008)

EXPLORING MACHINE LEARNING TECHNIQUES FOR CREDIT SCORES
by: QU JIA
Published: (2021)

Using Support Vector Machines for Terrorism Information Extraction
by: SUN, Aixin, et al.
Published: (2003)

An effective method for generating multiple linear regression rules from artificial neural networks
by: Setiono, R., et al.
Published: (2013)

Support Vector Machines
by: Steinwart, Ingo, et al.
Published: (2017)

EFSVM-FCM: Evolutionary fuzzy rule-based support vector machines classifier with FCM clustering
by: Wee, C.T., et al.
Published: (2014)

A support vector machine algorithm to extract gait phases from accelerometer data
by: Cheong, Farah
Published: (2018)