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001484158 001__ 1484158
001484158 003__ OCoLC
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001484158 019__ $$a1409545006
001484158 020__ $$a9789819978694$$qelectronic book
001484158 020__ $$a9819978696$$qelectronic book
001484158 020__ $$z9789819978687
001484158 020__ $$z9819978688
001484158 0247_ $$a10.1007/978-981-99-7869-4$$2doi
001484158 035__ $$aSP(OCoLC)1409683776
001484158 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dGW5XE$$dYDX$$dOCLCO$$dYDX
001484158 049__ $$aISEA
001484158 050_4 $$aQ334$$b.I58 2023
001484158 08204 $$a006.3$$223/eng/20231122
001484158 1112_ $$aInternational Conference on Artificial Intelligence Logic and Applications$$n(3rd :$$d2023 :$$cChangchun, China).
001484158 24510 $$aArtificial intelligence logic and applications :$$bthe 3rd international conference, AILA 2023, Changchun, China, August 5-6, 2023, proceedings /$$cSongmao Zhang, Yonggang Zhang, editors.
001484158 264_1 $$aSingapore :$$bSpringer,$$c2023.
001484158 300__ $$a1 online resource (xiv, 448 pages) :$$billustrations (chiefly color).
001484158 336__ $$atext$$btxt$$2rdacontent
001484158 337__ $$acomputer$$bc$$2rdamedia
001484158 338__ $$aonline resource$$bcr$$2rdacarrier
001484158 4901_ $$aCommunications in Computer and Information Science Series ;$$vv.1917
001484158 500__ $$aIncludes author index.
001484158 5050_ $$aIntro -- Preface -- Organization -- Contents -- AI Logic Foundation -- Evidence-Based Argumentation and Its Incremental Semantics -- 1 Introduction -- 2 Background -- 2.1 Abstract Argumentation -- 2.2 Evidential Support: An Analysis -- 3 Evidence-Based Argumentation Framework -- 3.1 The Framework -- 3.2 Incremental Semantics of EAF -- 4 Conclusion -- References -- Non-negative Matrix Factorization Method Based on Mixed Gaussian Kernels -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Objective Function -- 3.2 Optimization Process -- 3.3 Feature Extraction and Classifier
001484158 5058_ $$a4 Results -- 4.1 Datasets Introduction -- 4.2 Experiments -- 5 Conclusion -- References -- Granular Computing Measures for the Classical Formal Concepts and Intuitionistic Fuzzy Formal Concepts -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 FCA -- 3.2 IF Sets -- 4 GrC -- 5 Formal Context Structure -- 5.1 Formal Context Structure for the Binary or Classical FCA Methodology -- 5.2 Formal Context Structure for if Data Used with FCA Methodology -- 6 GrC Measures for the Binary or Classical Formal Contexts and IF Formal Contexts: -- 6.1 IG -- 6.2 COV -- 6.3 SP
001484158 5058_ $$a6.4 Unique Index Value (Q) -- 6.5 Assessing the Granularity in Different Levels of Data -- 7 Concluding Remarks and Future Works -- References -- A Novel Multi-view Fuzzy Clustering Algorithm Based on Fuzzy C-Means -- 1 Introduction -- 2 Brief Review of Fuzzy C-Means -- 3 The Proposed Method -- 3.1 Objective Function -- 3.2 Optimization -- 3.3 Fuzzy Assessment -- 4 Experiments -- 4.1 Examples Using Toy Datasets -- 4.2 Experiments for Parameter -- 4.3 Multi-view Clustering Comparison on Real-World Datasets -- 5 Conclusions -- References -- Graph-Based Diagnostic Prediction Model Based on Global Visit Contexts
001484158 506__ $$aAccess limited to authorized users.
001484158 520__ $$aThis book constitutes the proceedings of the Third International Conference, AILA 2023, held in Changchun, China, during August 56, 2023. The 26 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 56 submissions. This volume aims to provide novel ideas, original research achievements, and practical experiences in a broad range of artificial intelligence logic and applications.
001484158 588__ $$aDescription based upon print version of record.
001484158 650_6 $$aIntelligence artificielle$$vCongrès.
001484158 650_6 $$aLogique informatique$$vCongrès.
001484158 650_0 $$aArtificial intelligence$$vCongresses.$$xMedical applications$$0(DLC)sh 88003000
001484158 650_0 $$aComputer logic$$vCongresses.$$vCongresses$$0(DLC)sh2009121216
001484158 655_7 $$aproceedings (reports)$$2aat
001484158 655_7 $$aConference papers and proceedings.$$2lcgft
001484158 655_7 $$aActes de congrès.$$2rvmgf
001484158 655_0 $$aElectronic books.
001484158 7001_ $$aZhang, Songmao.
001484158 7001_ $$aZhang, Yonggang.
001484158 77608 $$iPrint version:$$aZhang, Songmao$$tArtificial Intelligence Logic and Applications$$dSingapore : Springer,c2023$$z9789819978687
001484158 830_0 $$aCommunications in computer and information science ;$$v1917.
001484158 852__ $$bebk
001484158 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-7869-4$$zOnline Access$$91397441.1
001484158 909CO $$ooai:library.usi.edu:1484158$$pGLOBAL_SET
001484158 980__ $$aBIB
001484158 980__ $$aEBOOK
001484158 982__ $$aEbook
001484158 983__ $$aOnline
001484158 994__ $$a92$$bISE