Data Mining, Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
Data Mining, Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Soft computing system for bank performance prediction
Applied Soft Computing
A genetic-based hybrid approach to corporate failure prediction
International Journal of Electronic Finance
A Sequential Hybrid Forecasting System for Demand Prediction
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
The adaptive neuro-fuzzy model for forecasting the domestic debt
Knowledge-Based Systems
Boosting k-nearest neighbor classifier by means of input space projection
Expert Systems with Applications: An International Journal
On learning algorithm selection for classification
Applied Soft Computing
Genetic algorithms in classifier fusion
Applied Soft Computing
Hybrid Repayment Prediction for Debt Portfolio
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Incremental prediction for sequential data
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Structured output element ordering in boosting-based classification
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Boosting algorithm with sequence-loss cost function for structured prediction
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Distance measures in training set selection for debt value prediction
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Learning and inference order in structured output elements classification
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Transfer learning approach to debt portfolio appraisal
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
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The concept of new approach for debt portfolio pattern recognition is presented in the paper. Aggregated prediction of sequential repayment values over time for a set of claims is performed by means of hybrid combination of various machine learning techniques, including clustering of references, model selection and enrichment of input variables with prediction outputs from preceding periods. Experimental studies on real data revealed usefulness of the proposed approach for claim appraisals. The average accuracy was over 93%, much higher than for simplifier methods.