Case-based reasoning : a concise introduction /

Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cas...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: López, Beatriz
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham, Switzerland : Springer, ©2013.
Colección:Synthesis lectures on artificial intelligence and machine learning ; #20.
Temas:
Case-based reasoning.
Raisonnement par cas.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Case-based reasoning
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 a 4500
001 EBOOKCENTRAL_ocn844074622
003 OCoLC
005 20240329122006.0
006 m eo d
007 cr cn||||m|||a
008 130522s2013 sz a fob 000 0 eng d
040 |a CaBNvSL  |b eng  |e pn  |c J2I  |d J2I  |d N$T  |d E7B  |d YDXCP  |d WAU  |d UMI  |d UIU  |d OCLCF  |d MERUC  |d OCLCO  |d MHW  |d EBLCP  |d CN3GA  |d AUW  |d DEBSZ  |d OCLCQ  |d COO  |d OCLCQ  |d LND  |d CEF  |d OCLCQ  |d INT  |d OCLCQ  |d YOU  |d OCLCQ  |d LEAUB  |d NJT  |d OCLCQ  |d UKAHL  |d S2H  |d OCLCO  |d GW5XE  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCL 
019 |a 843188346  |a 861345369  |a 961542811  |a 962599998 
020 |a 9781627050081  |q (electronic bk.) 
020 |a 1627050086  |q (electronic bk.) 
020 |z 9781627050074  |q (pbk.) 
020 |a 9783031015625  |q (electronic bk.) 
020 |a 3031015622  |q (electronic bk.) 
024 7 |a 10.2200/S00490ED1V01Y201303AIM020  |2 doi 
024 7 |a 10.1007/978-3-031-01562-5  |2 doi 
029 1 |a AU@  |b 000052162267 
029 1 |a CHNEW  |b 000618642 
029 1 |a DEBSZ  |b 397538014 
029 1 |a DEBSZ  |b 424930927 
029 1 |a NLGGC  |b 357784367 
029 1 |a NZ1  |b 14875359 
035 |a (OCoLC)844074622  |z (OCoLC)843188346  |z (OCoLC)861345369  |z (OCoLC)961542811  |z (OCoLC)962599998 
037 |a CL0500000322  |b Safari Books Online 
050 4 |a Q338.8  |b .L663 2013 
072 7 |a COM  |x 005030  |2 bisacsh 
072 7 |a COM  |x 004000  |2 bisacsh 
082 0 4 |a 006.3  |2 23 
049 |a UAMI 
100 1 |a López, Beatriz. 
245 1 0 |a Case-based reasoning :  |b a concise introduction /  |c Beatriz López. 
260 |a Cham, Switzerland :  |b Springer,  |c ©2013. 
300 |a 1 online resource (xv, 87 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Synthesis lectures on artificial intelligence and machine learning,  |x 1939-4616 ;  |v #20 
588 0 |a Online resource; title from PDF title page (viewed on May 21, 2013). 
504 |a Includes bibliographical references (pages 69-85). 
505 0 |a 1. Introduction -- 1.1 CBR systems taxonomy -- 1.2 Foundational issues -- 1.3 Related fields -- 1.4 Bibliographic notes. 
505 8 |a 2. The case-base -- 2.1 Vocabulary -- 2.2 Case modeling -- 2.2.1 Problem description -- 2.2.2 Solution description -- 2.2.3 Outcome -- 2.3 Case-base organization -- 2.4 Bibliographic notes. 
505 8 |a 3. Reasoning and decision making -- 3.1 Retrieve -- 3.1.1 Similarity assessment -- 3.1.2 Ranking and selection -- 3.1.3 Normalization, discretization, and missing data -- 3.2 Reuse -- 3.2.1 Solution copy -- 3.2.2 Solution adaptation -- 3.2.3 Specific purpose methods -- 3.3 Revise -- 3.4 Bibliographic notes. 
505 8 |a 4. Learning -- 4.1 Similarity learning -- 4.1.1 Measure learning -- 4.1.2 Feature relevance learning -- 4.2 Maintenance -- 4.2.1 Retain -- 4.2.2 Review -- 4.2.3 Restore -- 4.3 Bibliographic notes. 
505 8 |a 5. Formal aspects -- 5.1 Description logics -- 5.2 Bayesian model -- 5.3 Fuzzy set formalization -- 5.4 Probabilistic formalization -- 5.5 Case-based decisions -- 5.6 Bibliographic notes. 
505 8 |a 6. Summary and beyond -- 6.1 Explanations -- 6.2 Provenance -- 6.3 Distributed approaches -- 6.4 Bibliographic notes -- Bibliography -- Author's biography. 
520 3 |a Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the designing of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Case-based reasoning. 
650 6 |a Raisonnement par cas. 
650 7 |a COMPUTERS  |x Enterprise Applications  |x Business Intelligence Tools.  |2 bisacsh 
650 7 |a COMPUTERS  |x Intelligence (AI) & Semantics.  |2 bisacsh 
650 7 |a Case-based reasoning  |2 fast 
758 |i has work:  |a Case-based reasoning (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGc3WXpBT4ytvQ6Bv3BMfq  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a López, Beatriz.  |t Case-based reasoning.  |d [San Rafael, Calif.] : Morgan & Claypool, ©2013  |z 1627050078  |w (OCoLC)823040755 
830 0 |a Synthesis lectures on artificial intelligence and machine learning ;  |v #20.  |x 1939-4608 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1183971  |z Texto completo 
938 |a Askews and Holts Library Services  |b ASKH  |n AH32889355 
938 |a EBL - Ebook Library  |b EBLB  |n EBL1183971 
938 |a ebrary  |b EBRY  |n ebr10695843 
938 |a EBSCOhost  |b EBSC  |n 578513 
938 |a YBP Library Services  |b YANK  |n 10694822 
994 |a 92  |b IZTAP 

Ejemplares similares