APJIS Asia Pacific Journal of Information Systems


The Journal for Information Professionals

Asia Pacific Journal of Information Systems (APJIS) is published by the Korea Society
of Management Information Systems (KMIS), which is the largest professional institute
in the field of information systems in Korea.

ISSN 2288-5404 (Print) / ISSN 2288-6818 (Online)

Editor : Hee-Woong Kim

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Current Issue

Date December 2015
Vol. No. Vol. 25 No. 4
DOI http://dx.doi.org/10.14329/apjis.2015.25.4.626
Page 626~641
Title Improving Real-Time Efficiency of Case Retrieving Process for Case-Based Reasoning
Author Yoon-Joo Park
Keyword Case-Based Reasoning, Case-Retrieval, Dynamic Clustering, Real-Time Computational Cost, Medical Diagnosis
Abstract Conventional case-based reasoning (CBR) does not perform efficiently for high-volume datasets because of case retrieval time. To overcome this problem, previous research suggested clustering a case base into several small groups and retrieving neighbors within a corresponding group to a target case. However, this approach generally produces less accurate predictive performance than the conventional CBR. This paper proposes a new case-based reasoning method called the clustering–merging CBR (CM-CBR). The CM-CBR method dynamically indexes a search pool to retrieve neighbors considering the distance between a target case and the centroid of a corre-sponding cluster. This method is applied to three real-life medical datasets. Results show that the proposed CM-CBR method produces similar or better predictive performance than the conventional CBR and clustering-CBR methods in numerous cases with significantly less computational cost.

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