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Erschienen in:
Case Base Maintenance in Preference-Based CBR Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Learning and Applying Adaptation Operators in Process-Oriented Case-Based Reasoning

verfasst von : Gilbert Müller, Ralph Bergmann

Erschienen in: Case-Based Reasoning Research and Development

Verlag: Springer International Publishing

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Abstract

This paper presents a novel approach to the operator-based adaptation of workflows, which is a specific type of transformational adaptation. We introduce the notion of workflow adaptation operators which are partial functions transforming a workflow into a successor workflow, specified by workflow fractions to be inserted and/or deleted. The adaptation process itself chains adaptation operators during a local search process aiming at fulfilling the query as best as possible. Further, the paper presents an algorithm that learns workflow adaptation operators from the case base automatically, thereby addressing the common problem of adaptation knowledge acquisition. An empirical evaluation in the domain of cooking workflows was conducted which demonstrates convincing adaptation capabilities without a significant reduction of the workflows’ quality.

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Vorheriges Kapitel Great Explanations: Opinionated Explanations for Recommendations
Nächstes Kapitel Fault Diagnosis via Fusion of Information from a Case Stream
Fußnoten
1
The change request only contained ingredients and preparation steps present in the workflows from the case base and no ingredients that are used as mixtures of multiple ingredients (e.g., vegetable mix).
 
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Metadaten
Titel
Learning and Applying Adaptation Operators in Process-Oriented Case-Based Reasoning
verfasst von
Gilbert Müller
Ralph Bergmann
Copyright-Jahr
2015
Buch
Case-Based Reasoning Research and Development

Print ISBN: 978-3-319-24585-0

Electronic ISBN: 978-3-319-24586-7

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-24586-7_18

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