Retrieval strategies for case-based reasoning: a categorised bibliography

Azuaje, Francisco; Dubitzky, Werner; Black, Norman D.; Adamson, Kenny

doi:10.1017/s0269888900004045

Cited by 9 publications

(8 citation statements)

References 83 publications

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“…A hybrid approach (Azuaje et al, 2000), which combines a computational and representational technique, was used for case retrieval in the system. Hierarchical representation, based upon measures of similarity was used with a computational approach, in terms of weighting.…”

Section: Smartlp -A Case-based System For Lesson Planningmentioning

confidence: 99%

Effectiveness of a case‐based system in lesson planning

Saad

Chung

Dawson

2014

Computer Assisted Learning

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Lesson planning imposes a significant burden on teachers as they need to prepare different lesson plans for different classes according to various constraints. SmartLP, a casebased lesson planning system, has been implemented as a means of assisting teachers in constructing quality lesson plans more quickly. SmartLP enables teachers to retrieve previous lesson plans and customise them according to their constraints as they should be tailored to accommodate differences in students, teachers and the facilities available. An evaluation study was designed to examine the effectiveness of a Case Based Reasoning (CBR) approach through its cycle of retrieve, reuse, revise and retain in assisting teachers in constructing lesson plans and to assess the effects, in terms of time and quality, the system had on lesson plan preparation. This paper presents the results of the study. The study revealed that all the lesson plans constructed with SmartLP took significantly less time than lesson plans constructed without. In addition, where the planning tasks had greater similarities to the cases in the case base, they took even less time to be constructed. No significant difference in the quality of the plans, measured by a scoring system, was noticed between the control and experimental groups.

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Section: Smartlp -A Case-based System For Lesson Planningmentioning

confidence: 99%

Effectiveness of a case‐based system in lesson planning

Saad

Chung

Dawson

2014

Computer Assisted Learning

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“…Third, ranking heuristics are used to choose those cases partly matching a query that can best address the reasoner's purpose. Much research in CBR retrieval has been focused on the retrieval of 'labelled' cases where retrieval is seen as a classification problem [15,16]. The most common classifier used in the context of CBR retrieval is the nearest neighbour algorithm (see [17] for details).…”

Section: Cbr Retrievalmentioning

confidence: 99%

“…The low-order geometric, Legendre and central moments of any order (LowGLC for short) retrieve the same query as the Euclidean distance. During recent years, similarity assessment has been one of the most active research topics in CBR [15,[36][37][38][39]. Several domain-specific similarity measures have been proposed based on research work done in other areas such as information retrieval and classification [23,40].…”

Section: Comparison Of Local and Global Retrievalmentioning

confidence: 99%

Image-based retrieval in case-based reasoning systems for polyurethane manufacture

Segura-Velandia

West

2008

Proceedings of the Institution of Mechanical Engineers, Part B:

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The formulation of polyurethanes is a complex poorly understood problem and it has developed more as an art rather than a science. Although polyurethane formulations can be developed from first principles, this approach requires both a detailed knowledge of the underlying principles that govern the formulation process and also time, since a number of measurements of process conditions are usually required. The case-based reasoning (CBR) methodology can support polyurethane formulation tasks by providing a framework for collecting, structuring, and representing historical formulating knowledge. To date, most CBR retrieval algorithms employ a modified version of the nearest neighbour rule that uses a distance function as similarity measure, which in turn depends upon the attribute type. The application of moment-based retrieval used in image recognition for CBR retrieval is studied in this paper. Comparison with the classical retrieval algorithms that use standard distance measures showed that low-order geometric, central, and Legendre moments retrieve the same cases as the Euclidean distance does, whereas high-order geometric, central, and Legendre moments retrieved different cases. It is suggested that there is not a single distinguished approach to similarity in CBR, rather CBR systems should allow the integration of different approaches to similarity and the selection of different concepts.

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“…10, usually more domain knowledge [122,190], efficient and effective retrieval structures [42,191,123,21], as well as improved similarity assessment is necessary [148,190,195,21,86]. …”

Section: Case-based Decision Supportmentioning

confidence: 99%

Case-Based Reasoning

Althoff¹

2001

Handbook of Software Engineering and Knowledge Engineering

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Case-Based Reasoning (CBR) is an Artificial Intelligence approach t o learning and problem solving based on past experience. CBR combines aspects from the knowledge-based systems as well as from the machine learning field. In this chapter, we present the main characteristics of CBR technology, describe the main CBR subtasks and methods, and the main underlying principles. CBR is presented more from the user and usage point of view: we consider different application types, survey CBR applications up to now, and briefly present methodologies for developing and evaluating CBR systems. Finally, important issues concerning the past, present, and future of CBR overview the field for the reader. A huge number of references supports the reader with information where to get more detailed technical descriptions on various CBR related topics of interest.

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Retrieval strategies for case-based reasoning: a categorised bibliography

Cited by 9 publications

References 83 publications

Effectiveness of a case‐based system in lesson planning

Effectiveness of a case‐based system in lesson planning

Image-based retrieval in case-based reasoning systems for polyurethane manufacture

Case-Based Reasoning

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