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001 | 978-3-658-14407-4 | ||
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005 | 20180206183021.0 | ||
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008 | 160601s2016 gw | s |||| 0|eng d | ||
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_a9783658144074 _9978-3-658-14407-4 |
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_a004.0151 _223 |
100 | 1 |
_aHubauer, Thomas. _eauthor. |
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245 | 1 | 0 |
_aRelaxed Abduction _h[recurso electrónico] : _bRobust Information Interpretation for Industrial Applications / _cby Thomas Hubauer. |
264 | 1 |
_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg, _c2016. |
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300 |
_aXVII, 134 p. 11 illus., 1 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aFormalizing Diagnostics Using Description Logics -- Formalization and Properties of Relaxed Abduction -- Solving Diagnostic Problems Using Relaxed Abduction -- Incremental Diagnostics. | |
520 | _aThomas Hubauer addresses the challenge of providing reasonable interpretations of incomplete observational data in the context of imperfect domain models ? a situation often encountered in the context of industrial diagnostics. To tackle this problem, the author proposes a novel approach called Relaxed Abduction, which is able to derive pragmatic interpretations in situations where existing methods either fail or provide overly complex solutions. To strengthen the link to applications in industrial diagnostics, he develops a methodology to structure diagnosis problems according to ISO 13379 and express it using multiple description logic knowledge bases. Contents Formalizing Diagnostics Using Description Logics Formalization and Properties of Relaxed Abduction Solving Diagnostic Problems Using Relaxed Abduction Incremental Diagnostics Target Groups Researchers and students of computer science, knowledge management, and applied mathematics Practitioners in the area of industrial diagnostics and maintenance The Author Thomas Hubauer is a Research Scientist at the R&D department of a large German engineering company. His topics of interest range from ontologies and reasoning to machine learning and data analytics. | ||
650 | 0 | _aComputer science. | |
650 | 0 |
_aComputer science _xMathematics. |
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650 | 0 | _aComputers. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aMathematics of Computing. |
650 | 2 | 4 | _aComputing Methodologies. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783658144067 |
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-658-14407-4 |
912 | _aZDB-2-SCS | ||
942 | _cLIBRO_ELEC | ||
999 |
_c226420 _d226420 |