Please use this identifier to cite or link to this item: http://lib.hpu.edu.vn/handle/123456789/32302
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dc.contributor.authorBergmann, Ralphen_US
dc.date.accessioned2019-03-26T08:29:25Z-
dc.date.available2019-03-26T08:29:25Z-
dc.date.issued2003en_US
dc.identifier.isbn3540207376en_US
dc.identifier.isbn9783540207375en_US
dc.identifier.otherHPU1161229en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/32302-
dc.description.abstractIn just few years, case-based reasoning has evolved from a research topic studied at a small number of specialized academic labs into an industrial-strength technology applied in various fields. The INRECA methodology presented in detail in this monograph provides a data analysis framework for developing case-based reasoning solutions for successful applications in real-world industrial contexts. The book is divided into parts on: smarter business with case-based decision support. developing case-based applications using the INRECA methodology. using the methodology in various application domains. The book provides a self-contained introduction to case-based reasoning applications that address both R&D professionals and general IT managers interested in this powerful new technology. In this second edition, improvements and updates have been incorporated throughout the text. Particularly useful is the systematic coverage of experience factory applications at various steps. and, of course, the references have been extended substantially.en_US
dc.format.extent248 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectTechnologyen_US
dc.subjectComputeren_US
dc.subjectAdministrative Data Processingen_US
dc.titleDeveloping Industrial Case-Based Reasoning Applications: The INRECA Methodologyen_US
dc.typeBooken_US
dc.size5,516 KBen_US
dc.departmentTechnologyen_US
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