Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches

Aamodt, Agnar; Plaza, Enric

doi:10.3233/aic-1994-7104

Cited by 3,791 publications

(1,441 citation statements)

References 27 publications

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“…There are two broad categories for signal capture methods: case definition methods and pattern recognition methods. Case definition methods use previous experiences to define an "event of interest" and thus track those signals considered of greatest importance (Aamodt & Plaza, 1994;Langseth, Aamodt, & Winnem, 1999). Scanning for signals based on the organization's risk assessment and vulnerability analysis would fall into this category.…”

Section: Signal Capturementioning

confidence: 99%

Signal detection as the first line of defence in tourism crisis management

Paraskevas

Altınay

2013

Tourism Management

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Section: Signal Capturementioning

confidence: 99%

Signal detection as the first line of defence in tourism crisis management

Paraskevas

Altınay

2013

Tourism Management

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“…Although early definitions of the CBR process emphasized the application phase of CBR, it is now accepted that an additional maintenance phase is necessary to cope with all issues that arise when CBR is used in practical applications and especially when the CBR system state changes over time (Göker and Roth-Berghofer 1999). From our perspective, the first three steps in the standard four-step CBR cycle (Aamodt and Plaza 1994)-retrieve, reuse, revise-build the application phase, whereas the fourth step-retain-is the first step in the maintenance phase of CBR.…”

Section: The Six-step Cbr Cyclementioning

confidence: 99%

Review and Restore for Case‐Base Maintenance

Reinartz

Iglezakis

Roth–Berghofer³

2001

Computational Intelligence

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Case-base maintenance is one of the most important issues for current research in case-based reasoning (CBR). In this article we propose an extended six-step CBR cycle and discuss its two additional steps as part of the maintenance phase of the CBR process. The review step covers assessment and monitoring of the knowledge containers, whereas the restore step actually modifies the contents of the containers according to recommendations resulting from the review step in order to keep the knowledge containers in a usable state. Here we focus our attention on the case base. For the review step, we define several quality measures based on different case and case-base properties that describe specific characteristics of the case base such as correctness, consistency, uniqueness, minimality, and incoherence. Then we use these measures to realize monitoring capabilities for the case-base container that indicate when the restore step is necessary. Finally, we also describe several methods for modifications of the case base in the restore step and their relation to the review step. An initial experimental evaluation shows the appropriateness of the proposed concepts and methods before we conclude the article with a discussion of related work and an outline of future directions to extend these aspects of maintenance in CBR.

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“…Many CBR retrieval systems have been developed in areas such as business, engineering, education, and health care (Alptekin & B€ uy€ uk€ ozkan, 2011;Bichindaritz & Marling, 2006;He, Erdelez, Wang, & Shyu, 2008;Shokouhi, Skalle, & Aamodt, 2014). The basic idea of CBR is to suggest new solutions by adapting old solutions to solve new problems (Aamodt & Plaza, 1994). In everyday life, many people rely on their past experiences to solve new problems.…”

Section: Cbr Searchingmentioning

confidence: 99%

A longitudinal study of user queries and browsing requests in a case‐based reasoning retrieval system

Tian

2017

Asso for Info Science & Tech

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This article reports on a longitudinal analysis of query logs of a web‐based case library system during an 8‐year period (from 2005 to 2012). The analysis studies 3 different information‐seeking approaches: keyword searching, browsing, and case‐based reasoning (CBR) searching provided by the system by examining the query logs that stretch over 8 years. The longitudinal dimension of this study offers unique possibilities to see how users used the 3 different approaches over time. Various user information‐seeking patterns and trends are identified through the query usage pattern analysis and session analysis. The study identified different user groups and found that a majority of the users tend to stick to their favorite information‐seeking approach to meet their immediate information needs and do not seem to care whether alternative search options will offer greater benefits. The study also found that return users used CBR searching much more frequently than 1‐time users and tend to use more query terms to look for information than 1‐time users.

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Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches

Cited by 3,791 publications

References 27 publications

Signal detection as the first line of defence in tourism crisis management

Signal detection as the first line of defence in tourism crisis management

Review and Restore for Case‐Base Maintenance

A longitudinal study of user queries and browsing requests in a case‐based reasoning retrieval system

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