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Case-Based ReasoningMichael M. Richter, Rosina O. Weber
Nonfiction

Case-Based Reasoning

564 pagesFirst published 20133 editions
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While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based rea­soning (CBR) can be viewed as experience mining, with analogical reasoning applied to problem–solution pairs. As cases are typically not identical, simple storage and recall of experiences is not sufficient, we must define and analyze similarity and adaptation. The fundamentals of the approach are now well-established, and there are many successful commercial applications in diverse…

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Editions

3 in Spinefolk
FormatPublisherYearPagesISBN
EditionSpringer Berlin / Heidelberg2016—9783662523773
EditionSpringer Berlin / Heidelberg20135659783642401671
HardcoverSpringer20135649783642401664
Expert systems (computer science)ReasoningArtificial intelligenceIntelligence (ai) & semanticsInformation managementGeneralData processingSci21017