A new strategy for case-based reasoning retrieval using classification based on association

Conference paper

Aljuboori, AS, Meziane, F. and Parsons, DJ 2016. A new strategy for case-based reasoning retrieval using classification based on association. Perner, P (ed.) MLDM: International Conference on Machine Learning and Data Mining in Pattern Recognition. New York, USA 16 - 21 Jul 2016 Springer. https://doi.org/10.1007/978-3-319-41920-6_24
AuthorsAljuboori, AS, Meziane, F. and Parsons, DJ
TypeConference paper
Abstract

This paper proposes a novel strategy, Case-Based Reasoning Using Association Rules (CBRAR) to improve the performance of the Similarity base Retrieval SBR, classed frequent pattern trees FP-CAR algorithm, in order to disambiguate wrongly retrieved cases in Case-Based Reasoning (CBR). CBRAR use class as-sociation rules (CARs) to generate an optimum FP-tree which holds a value of each node. The possible advantage offered is that more efficient results can be gained when SBR returns uncertain answers. We compare the CBR Query as a pattern with FP-CAR patterns to identify the longest length of the voted class. If the patterns are matched, the proposed strategy can select not just the most similar case but the correct one. Our experimental evaluation on real data from the UCI repository indicates that the proposed CBRAR is a better approach when com-pared to the accuracy of the CBR systems used in our experiments.

KeywordsCase-Based Reasoning; ; Class Association Rules; ; Frequent pattern trees; ; P-trees; ; Retrieval
Year2016
ConferenceMLDM: International Conference on Machine Learning and Data Mining in Pattern Recognition
PublisherSpringer
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-41920-6_24
Web address (URL)https://doi.org/10.1007/978-3-319-41920-6_24
Journal citationVol 9729, pp. 326 - 340
ISBN978-3-319-41920-6
Web address (URL) of conference proceedingshttps://link.springer.com/chapter/10.1007/978-3-319-41920-6_24
Output statusPublished
Publication dates28 Jun 2016
Publication process dates
Deposited05 Jun 2023
EditorsPerner, P
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