Extracting comprehensible models from trained neural networks
Extracting comprehensible models from trained neural networks
Introduction To Business Data Mining
Introduction To Business Data Mining
Rule extraction from linear support vector machines
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Network Intrusion Detection by Multi-group Mathematical Programming based Classifier
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
A Regularized Multiple Criteria Linear Program for Classification
ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
Categorizing and mining concept drifting data streams
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A New Multi-Criteria Quadratic-Programming Linear Classification Model for VIP E-Mail Analysis
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Multiple Criteria Mathematical Programming and Data Mining
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
A Rough Set-Based Multiple Criteria Linear Programming Approach for Classification
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
Information Sciences: an International Journal
Multiple criteria programming models for VIP E-Mail behavior analysis
Web Intelligence and Agent Systems
A family of optimization based data mining methods
APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
Active learning from stream data using optimal weight classifier ensemble
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new multi-criteria convex quadratic programming model for credit analysis
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Multiclass credit cardholders’ behaviors classification methods
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
classifications of credit cardholder behavior by using multiple criteria non-linear programming
CASDMKM'04 Proceedings of the 2004 Chinese academy of sciences conference on Data Mining and Knowledge Management
Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis
International Journal of Data Warehousing and Mining
A Clustering Rule Based Approach for Classification Problems
International Journal of Data Warehousing and Mining
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Due to the flexibility of multi-criteria optimization, Regularized Multiple Criteria Linear Programming RMCLP has received attention in decision support systems. Numerous theoretical and empirical studies have demonstrated that RMCLP is effective and efficient in classifying large scale data sets. However, a possible limitation of RMCLP is poor interpretability and low comprehensibility for end users and experts. This deficiency has limited RMCLP's use in many real-world applications where both accuracy and transparency of decision making are required, such as in Customer Relationship Management CRM and Credit Card Portfolio Management. In this paper, the authors present a clustering based rule extraction method to extract explainable and understandable rules from the RMCLP model. Experiments on both synthetic and real world data sets demonstrate that this rule extraction method can effectively extract explicit decision rules from RMCLP with only a small compromise in performance.