LEADER 05571nam 22006735 450 001 9910437580203321 005 20220809171415.0 010 $a3-642-40167-8 024 7 $a10.1007/978-3-642-40167-1 035 $a(CKB)3710000000024387 035 $a(SSID)ssj0001049176 035 $a(PQKBManifestationID)11678706 035 $a(PQKBTitleCode)TC0001049176 035 $a(PQKBWorkID)11019156 035 $a(PQKB)11323687 035 $a(DE-He213)978-3-642-40167-1 035 $a(MiAaPQ)EBC3095804 035 $a(PPN)176114300 035 $a(EXLCZ)993710000000024387 100 $a20131031d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aCase-Based Reasoning $eA Textbook /$fby Michael M. Richter, Rosina O. Weber 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XVIII, 546 p. 180 illus., 7 illus. in color.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-40166-X 320 $aIncludes bibliographical references and index. 327 $aPart I - Basics and Preliminaries -- Chap. 1 - Introduction -- Chap. 2 - Basic CBR Elements -- Chap. 3 - Extended View -- Chap. 4 - Application Examples -- Part II - Core Methods -- Chap. 5 - Case Representations -- Chap. 6 - Basic Similarity Topics -- Chap. 7 - Complex Similarity Topics -- Chap. 8 - Retrieval -- Chap. 9 - Adaptation -- Chap. 10 - Evaluation, Revisions, and Learning -- Chap. 11 - Development and Maintenance -- Part III - Advanced Elements -- Chap. 12 - Advanced CBR Elements -- Chap. 13 - Advanced Similarity Topics -- Chap. 14 - Advanced Retrieval -- Chap. 15 - Uncertainty -- Chap. 16 - Probabilities -- Part IV - Complex Knowledge Sources -- Chap. 17 - Textual CBR -- Chap. 18 - Images -- Chap. 19 - Sensor Data and Speech -- Chap. 20 - Conversational CBR -- Chap. 21 - Knowledge Management -- Part V - Appendices -- Chap. 22 - Basic Formal Definitions and Methods -- Chap. 23 - Relations and Comparisons with Other Techniques. 330 $aWhile 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 fields, attracting interest from researchers across various disciplines.   This textbook presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications. In the chapters in Part I the authors present the basic elements of CBR without assuming prior reader knowledge; Part II explains the core methods, in particu­lar case representations, similarity topics, retrieval, adaptation, evaluation, revisions, learning, develop­ment, and maintenance; Part III offers advanced views of these topics, additionally covering uncertainty and probabilities; and Part IV shows the range of knowledge sources, with chapters on textual CBR, im­ages, sensor data and speech, conversational CBR, and knowledge management. The book concludes with appendices that offer short descriptions of the basic formal definitions and methods, and comparisons be­tween CBR and other techniques.   The authors draw on years of teaching and training experience in academic and business environments, and they employ chapter summaries, background notes, and exercises throughout the book. It's suitable for advanced undergraduate and graduate students of computer science, management, and related disciplines, and it's also a practical introduction and guide for industrial researchers and practitioners engaged with knowledge engineering systems. 606 $aArtificial intelligence 606 $aInformation technology 606 $aBusiness$xData processing 606 $aComputers 606 $aApplication software 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001 615 0$aArtificial intelligence. 615 0$aInformation technology. 615 0$aBusiness$xData processing. 615 0$aComputers. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aIT in Business. 615 24$aInformation Systems and Communication Service. 615 24$aComputer Applications. 676 $a006.3 700 $aRichter$b Michael M$4aut$4http://id.loc.gov/vocabulary/relators/aut$0321569 702 $aWeber$b Rosina O$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910437580203321 996 $aCase-Based Reasoning$92532022 997 $aUNINA