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Design and implementation of a case-based reasoning system for marketing plans

S. Wesley Changchien, Ming-Chin Lin
2005 Expert systems with applications  
After an intensive survey of CBR methods and applications, a CBR system embedding multi-attribute decision making method, which provides both overall similarity level and similarity level of each selected  ...  attribute, is proposed to enhance the adaptation of a new marketing plan.  ...  Effective adaptation relies on adaptation knowledge and the fitness of the retrieved case for the target problem, but successful adaptation is based on the knowledge that in general is not readily available  ... 
doi:10.1016/j.eswa.2004.08.002 fatcat:h6awg6m6cbfnfiusgd6cbj6ece

Towards a Domain-Specific Language for Knowledge Maintenance of CBR Systems

Pascal Reuss, Wasgen Muradian, Klaus-Dieter Althoff
2021 Lernen, Wissen, Daten, Analysen  
This paper describes a first step towards a domain-specific language for knowledge maintenance of CBR systems that could be used in a maintenance framework to bundle the various existing maintenance policies  ...  Maintaining CBR systems can be a challenging task depending on the complexity of the domain and use case of the CBR system, the knowledge to maintain, and the applicable approaches.  ...  To define the source and the target of a dependency, the knowledge of CBR systems is organized in a hierarchy with six knowledge levels [7] .  ... 
dblp:conf/lwa/ReussMA21 fatcat:atvqgm2zjfckneeby6yunjsbua

Toward translational incremental similarity-based reasoning in breast cancer grading

Adina E. Tutac, Daniel Racoceanu, Wee-Keng Leow, Henning Müller, Thomas Putti, Vladimir Cretu, Nico Karssemeijer, Maryellen L. Giger
2009 Medical Imaging 2009: Computer-Aided Diagnosis  
Moreover, in a CBR system, the knowledge is incrementally added and learned.  ...  Therefore, we advance the idea of a translational incremental similarity-based reasoning (TISBR), using combined CBIR and CBR characteristics: incremental learning of medical knowledge, medical case-based  ...  A retrieval technique based on semantic example in CBIR is correspondently found in CBR as a knowledge-guided retrieval.  ... 
doi:10.1117/12.813731 dblp:conf/micad/TutacRLMPC09 fatcat:tkysogzkvfgvrkwcbihuvml2oq

A Survey on Case-based Reasoning in Medicine

Nabanita Choudhury, Shahin Ara
2016 International Journal of Advanced Computer Science and Applications  
in particular in the domain of medicine.  ...  We also discuss the difficulties of implementing CBR in medicine and outline opportunities for future work.  ...  Just as people draw on past experiences while solving a new problem, which often does not require in-depth analysis of the problem domain, CBR can be based on shallow knowledge and does not require significant  ... 
doi:10.14569/ijacsa.2016.070820 fatcat:jl6ik24bqveoffimndhjbfq2gy

Knowledge engineering requirements in derivational analogy [chapter]

Pádraig Cunningham, Donal Finn, Seán Slattery
1994 Lecture Notes in Computer Science  
In the adaptation process this reasoning trace is reinstantiated in the context of the new target case; this requires a strong domain model and the encoding of problem solving knowledge.  ...  use of CBR in developing KBS and not to the use of CBR as a model of memory and mental processes.  ...  Considering the CBR perspective, in the Rachmann case-base, setting up the system required very little knowledge level analysis as the heuristics were encoded implicitly in the cases.  ... 
doi:10.1007/3-540-58330-0_90 fatcat:jn2hgsrmkzeozaw67vjssvho6q

A comparative utility analysis of case-based reasoning and control-rule learning systems [chapter]

Anthony G. Francis, Ashwin Ram
1995 Lecture Notes in Computer Science  
The utility problem in learning systems occurs when knowledge learned in an attempt to improve a system's performance degrades performance instead.  ...  We present a methodology for the analysis of utility problems which uses computational models of problem solving systems to isolate the root causes of a utility problem, to detect the threshold conditions  ...  For a CBR system, on the other hand, the increase in cost of a case retrieval must be less than the cost of the number of adaptation steps avoided: ∆R c < R a (C p − C p ').  ... 
doi:10.1007/3-540-59286-5_54 fatcat:fzs4fkcm55ei7cp6zf6u5jmwdu

Maintaining Case-Based Reasoners: Dimensions and Directions

David C. Wilson, David B. Leake
2001 Computational intelligence  
Multiple researchers have addressed pieces of this more general maintenance problem, considering such issues as how to refine similarity criteria and adaptation knowledge.  ...  Experience with the growing number of large-scale and long-term case-based reasoning (CBR) applications has led to increasing recognition of the importance of maintaining existing CBR systems.  ...  ACKNOWLEDGMENTS This research was supported in part by NASA under Award No. NCC 2-1035.  ... 
doi:10.1111/0824-7935.00140 fatcat:vec4tkw4sffx7ltg3nlbqtfbcq

An Evolutionary Approach to Case Adaptation [chapter]

Andrés de Gómez Silva Garza, Mary Lou Maher
1999 Lecture Notes in Computer Science  
This implementation allows us to evaluate the use of GA's for case adaptation in CBR. Experimental results show the role of representation and constraints.  ...  We present a case adaptation method that employs ideas from the field of genetic algorithms.  ...  In contrast, we have examined the possibilities of using a GA for case adaptation from the perspective of CBR.  ... 
doi:10.1007/3-540-48508-2_12 fatcat:ivvhs5oh2fdgzdr7zsj6an3mqu

Current status of case-retrieval in engineering domains: an analysis from the knowledge engineering perspective

Frank Maurer
1996 Knowledge-Based Systems  
The paper shows industrial practicians how current case-based reasoning technology can be used in engineering domains. It analyses knowledge needed to support case retrieval.  ...  It starts with descriptions of retrieval algorithms for several levels of expressiveness of the case representation language, and it discusses where the algorithmic complexity results from.  ...  Acknowledgements The work reported on in this paper was partially funded by ESPRIT project P-6322 INRECA.  ... 
doi:10.1016/0950-7051(95)01021-1 fatcat:txc5b65pirbenkahzn65agz4xi

Constructing a Global and Integral Model of Business Management Using a CBR System [chapter]

Emilio Corchado, Juan M. Corchado, Lourdes Sáiz, Ana Lara
2004 Lecture Notes in Computer Science  
Knowledge has become the most strategic resource in the new business environment.  ...  This technique is used as a tool to develop a part of a Global and Integral Model of business Management, which brings about a global improvement in the firm, adding value, flexibility and competitiveness  ...  The firm is in this place because the level of knowledge required is low and therefore the acquisition of knowledge is not a priority.  ... 
doi:10.1007/978-3-540-30103-5_16 fatcat:hxniuzfexrcsrdxiet7re4zrgm

Case-Based Reasoning: Concepts, Features and Soft Computing

Simon C.K. Shiu, Sankar K. Pal
2004 Applied intelligence (Boston)  
This is followed by a description of the relevance of soft computing tools to CBR.  ...  In particular, some of the tasks in the four REs, namely Retrieve, Reuse, Revise and Retain, of the CBR cycle that have relevance as prospective candidates for soft computing applications are explained  ...  In general, there are a number of merits of using CBR: Reduce the knowledge acquisition task.  ... 
doi:10.1023/b:apin.0000043556.29968.81 fatcat:7hn3di5fuzgdlh523un75daf3u

A connectionist approach for similarity assessment in case-based reasoning systems

Kalyan Moy Gupta, Ali Reza Montazemi
1997 Decision Support Systems  
The proposed architecture uses a supervised learning technique to acquire the matching knowledge. The architecture allows the growth of a case base without the involvement of a knowledge engineer.  ...  As a result, CBR systems would be more useful if they were able to adapt to the idiosyncrasies of individual decision makers.  ...  Acknowledgements The authors would like to extend their appreciation to the employees of Westinghouse Canada Inc. for their help and cooperation in this research, and three anonymous reviewers for their  ... 
doi:10.1016/s0167-9236(96)00063-2 fatcat:gkcbic2zyjhd5b7ocuqbjely5e

Improving Data Modeling Through the use of Case-Base-Reasoning

Paulo Tomé, Ernesto Costa, Luís Amaral
2007 International Working Conference on Exploring Modeling Methods for Systems Analysis and Development  
This article proposes a framework, supported by a software tool, that uses Case-Based-Reasoning (CBR) methodology to represent and use experience in the data modelling task.  ...  Currently three types of data modelling techniques are widely used: entity-attribute-relationship, object-relationship and object-oriented. There is not a consensus about which one is the best.  ...  Although there is not a common taxonomy for these levels, generally a technique/modelling tool can be applied from a low level of detail to a level where the data model is close of to the Data Base Management  ... 
dblp:conf/emmsad/TomeCA07 fatcat:hvtuagjig5gfnny6hdegy7e4j4

How Case-Based Reasoning on e-Community Knowledge Can Be Improved Thanks to Knowledge Reliability [chapter]

Emmanuelle Gaillard, Jean Lieber, Emmanuel Nauer, Amélie Cordier
2014 Lecture Notes in Computer Science  
MKM (meta-knowledge model) is a model for managing reliability of the knowledge units that are used in the reasoning process.  ...  An experiment in which users perform a blind evaluation of results provided by two systems (with and without taking into account reliability, i.e. with and without MKM) shows that users are more satisfied  ...  State of the art Using reliable knowledge elements in a knowledge-based system allows to infer knowledge with an acceptable level of trustworthiness.  ... 
doi:10.1007/978-3-319-11209-1_12 fatcat:nku7wj6bxrdo5gjjaik7p6evhe

Case Based Reasoning as an improvement of decision making and case processing in Adaptive Case Management systems

Łukasz Osuszek, Stanisław Stanek
2015 Position Papers of the 2015 Federated Conference on Computer Science and Information Systems  
The paper sets out from a proposition that the concept of Case Based Reasoning could improve business decisions and optimize case processing in modern Adaptive Case Management (ACM) systems.  ...  While depicting the state of the art in the continued efforts to blend Artificial Intelligence (AI) with Business Process Management (BPM), Knowledge Management (KM) and Adaptive Case Management, the authors  ...  HOW CBR IS RELATED TO ACM At the highest level of generality, the following four processes may describe a general CBR cycle: -RETRIEVE the most similar case or cases, -REUSE the information and knowledge  ... 
doi:10.15439/2015f61 dblp:conf/fedcsis/OsuszekS15a fatcat:5xls3spovncerausqrknpzgxbi
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