APJIS Asia Pacific Journal of Information Systems

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The Journal for Information Professionals

Asia Pacific Journal of Information Systems (APJIS), a Scopus Indexed Journal,
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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