Explaining and repairing plans that fail
Artificial Intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Planning and Learning by Analogical Reasoning
Planning and Learning by Analogical Reasoning
Feature Weight Maintenance in Case Bases Using Introspective Learning
Journal of Intelligent Information Systems
Refining Initial Points for K-Means Clustering
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Learning to Improve Case Adaption by Introspective Reasoning and CBR
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
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
Towards Dynamic Maintenance of Retrieval Knowledge in CBR
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Remembering to forget: a competence-preserving case deletion policy for case-based reasoning systems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Prototypical case mining from biomedical literature for bootstrapping a case base
Applied Intelligence
Mining Large-Scale Knowledge Sources for Case Adaptation Knowledge
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Knowledge Planning and Learned Personalization for Web-Based Case Adaptation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Analysis and Reuse of Plots Using Similarity and Analogy
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Named relationship mining from medical literature
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Cases, context, and comfort: opportunities for case-based reasoning in smart homes
Designing Smart Homes
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This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based reasoning. Case mining constructs a case base from a large raw dataset with an objective to improve the case-base reasoning systems' efficiency and quality. Our approach starts from a raw database of objects with class attributes together with a historical database of past action sequences on these objects. The object databases can be customer records and the historical action logs can be the technical advises given to the customers to solve their problems. Our goal is to discover effective and highly representative problem descriptions associated with solution plans that accomplish their tasks. To maintain efficiency of computation, data mining methods are employed in the process of composing the case base. We motivate the application of the case mining model using a financial application example, and demonstrate the effectiveness of the model using both real and simulated datasets.