Reasoning with cases and hypotheticals in HYPO
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
Induction of one-level decision trees
ML92 Proceedings of the ninth international workshop on Machine learning
C4.5: programs for machine learning
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Case-based reasoning
Artificial Intelligence Review - Special issue on lazy learning
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
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COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
ECML '95 Proceedings of the 8th European Conference on Machine Learning
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
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Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Probabilistic abductive computation of evidence collection strategies in crime investigation
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Case-Based Support for Library Reference Services
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Knowledge based crime scenario modelling
Expert Systems with Applications: An International Journal
Compositional Bayesian modelling for computation of evidence collection strategies
Applied Intelligence
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Case-Based Reasoning (CBR) has been used successfully in many practical applications. In this paper, we present the value of Case-Based Reasoning for researchers in a novel task domain, criminology. In particular, some criminologists are interested in studying crime victims who are victims of multiple crime incidents. However, research progress has been slow, in part due to limitations in the statistical methods generally used in the field. We show that CBR provides a useful alternative, allowing better prediction than via other methods, and generating hypotheses as to what features are important predictors of repeat victimization. This paper details a systematic sequence of experiments with variations on CBR and comparisons to other related, competing methods. The research uses data from the United States' National Crime Victimization Survey. CBR, with advance filtering of variables, was the best predictor in comparison to other machine learning methods. This approach may provide a fruitful new direction of research, particularly for criminology, but also for other academic research areas.