Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Case-based reasoning
Retrieving semantically distant analogies with knowledge-directed spreading activation
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Information Retrieval
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Using k-d Trees to Improve the Retrieval Step in Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
An Investigation of Marker-Passing Algorithms for Analogue Retrieval
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
"Fish and Sink" - An Anytime-Algorithm to Retrieve Adequate Cases
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
CBR for Document Retrieval: The FALLQ Project
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Diagnosis and Decision Support
Case-Based Reasoning Technology, From Foundations to Applications
Case-Based Reasoning Technology, From Foundations to Applications
Case Retrieval Nets: Basic Ideas and Extensions
KI '96 Proceedings of the 20th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Case Retrieval Reuse Net (CR2N): An Architecture for Reuse of Textual Solutions
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Term similarity and weighting framework for text representation
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
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Case Retrieval Networks (CRNs) facilitate flexible and efficient retrieval in Case-Based Reasoning (CBR) systems. While CRNs scale up well to handle large numbers of cases in the case-base, the retrieval efficiency is still critically determined by the number of feature values (referred to as Information Entities) and by the nature of similarity relations defined over the feature space. In textual domains it is typical to perform retrieval over large vocabularies with many similarity interconnections between words. This can have adverse effects on retrieval efficiency for CRNs. This paper proposes an extension to CRN, called the Fast Case Retrieval Network (FCRN) that eliminates redundant computations at run time. Using artificial and real-world datasets, it is demonstrated that FCRNs can achieve significant retrieval speedups over CRNs, while maintaining retrieval effectiveness.