The effectiveness and efficiency of case-based reasoning (CBR) systems depend largely on the success of case-based retrieval. The case-base maintenance (CBM) issues become imperative and important especially for modern societies. This paper proposes a new competence model and a new maintenance procedure for the proposed competence model. Based on the proposed competence maintenance procedure, footprint-based retrieval (FBR), a competence-based case base retrieval method, is able to preserve its own retrieval effectiveness and efficiency. © 2009 Springer-Verlag Berlin Heidelberg
University of Technology, Sydney. Faculty of Engineering and Information Technology.NO FULL TEXT AVA...
The case-based reasoning (CBR) approach is a modern approach. It is adopted for designing knowledgeb...
YesCase-based reasoning (CBR) is a nature inspired paradigm of machine learning capable to continuo...
International audienceThe main goal of a Case-Based Reasoning (CBR) system is to provide criteria fo...
International audienceCase base Maintenance is an active Case Based Reasoning research area. The mai...
Case-based maintenance can be resource intensive and requires significant time and effort to collect...
The knowledge stored in a case base is central to the problem solving of a case-based reasoning (CBR...
The utility problem occurs when the cost associated with searching for relevant knowledge outweighs ...
Case-Based Reasoning (CBR) is one of machine learning algorithms for problem solving and learning th...
The way to manage knowledge accumulated is one of the firm’s trends, in order to capitalize and to t...
The performance of Case-Based Reasoning (CBR) systems is highly depend on the performance of the ret...
Since last years Case Base Reasoning (CBR) field has been growing, and Case Base Maintenance (CBM) i...
We present a novel algorithm for extracting a high-quality case base from raw data while preserving ...
Case Base Maintenance (CBM) algorithms update the content of the case base with the aim of improving...
Case-Based Reasoning is a methodology that uses information that has been considered as valid in pre...
University of Technology, Sydney. Faculty of Engineering and Information Technology.NO FULL TEXT AVA...
The case-based reasoning (CBR) approach is a modern approach. It is adopted for designing knowledgeb...
YesCase-based reasoning (CBR) is a nature inspired paradigm of machine learning capable to continuo...
International audienceThe main goal of a Case-Based Reasoning (CBR) system is to provide criteria fo...
International audienceCase base Maintenance is an active Case Based Reasoning research area. The mai...
Case-based maintenance can be resource intensive and requires significant time and effort to collect...
The knowledge stored in a case base is central to the problem solving of a case-based reasoning (CBR...
The utility problem occurs when the cost associated with searching for relevant knowledge outweighs ...
Case-Based Reasoning (CBR) is one of machine learning algorithms for problem solving and learning th...
The way to manage knowledge accumulated is one of the firm’s trends, in order to capitalize and to t...
The performance of Case-Based Reasoning (CBR) systems is highly depend on the performance of the ret...
Since last years Case Base Reasoning (CBR) field has been growing, and Case Base Maintenance (CBM) i...
We present a novel algorithm for extracting a high-quality case base from raw data while preserving ...
Case Base Maintenance (CBM) algorithms update the content of the case base with the aim of improving...
Case-Based Reasoning is a methodology that uses information that has been considered as valid in pre...
University of Technology, Sydney. Faculty of Engineering and Information Technology.NO FULL TEXT AVA...
The case-based reasoning (CBR) approach is a modern approach. It is adopted for designing knowledgeb...
YesCase-based reasoning (CBR) is a nature inspired paradigm of machine learning capable to continuo...