LEADER 01277nam a2200325 i 4500 001 991000908539707536 005 20020507175640.0 008 990914s1986 us ||| | eng 020 $a0262181207 035 $ab10774208-39ule_inst 035 $aLE01304154$9ExL 040 $aDip.to Matematica$beng 084 $aAMS 68U30 100 1 $aRumelhart, David E.$027673 245 10$aFoundations /$cDavid E. Rumelhart, James L. McClelland, and the PDP Research Group 260 $aCambridge, Mass. :$bMIT Press,$c1986 300 $axx, 547 p. :$bill. ;$c24 cm. 490 0 $aComputational models of cognition and perception 490 0 $aParallel distributed processing ;$v1 500 $aBibliography: p. [507]-516 650 4$aCognition 650 4$aHuman information processing 700 1 $aMcClelland, James L.$eauthor$4http://id.loc.gov/vocabulary/relators/aut$051853 710 2 $aUniversity of California : PDP research group 907 $a.b10774208$b23-02-17$c28-06-02 912 $a991000908539707536 945 $aLE013 68U RUM11 V.I (1986)$cV. 1$g1$i2013000117409$lle013$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10872978$z28-06-02 996 $aFoundations$91455588 997 $aUNISALENTO 998 $ale013$b01-01-99$cm$da $e-$feng$gus $h0$i1 LEADER 04383nam 22006855 450 001 9910739477303321 005 20251107173110.0 010 $a9783031409608 010 $a3031409604 024 7 $a10.1007/978-3-031-40960-8 035 $a(MiAaPQ)EBC30699079 035 $a(Au-PeEL)EBL30699079 035 $a(DE-He213)978-3-031-40960-8 035 $a(PPN)272260177 035 $a(CKB)27985157700041 035 $a(EXLCZ)9927985157700041 100 $a20230815d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGraph-Based Representation and Reasoning $e28th International Conference on Conceptual Structures, ICCS 2023, Berlin, Germany, September 11?13, 2023, Proceedings /$fedited by Manuel Ojeda-Aciego, Kai Sauerwald, Robert Jäschke 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (212 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 311 08$aPrint version: Ojeda-Aciego, Manuel Graph-Based Representation and Reasoning Cham : Springer International Publishing AG,c2023 9783031409592 327 $aComplexity and Database Theory -- Functional Dependencies with Predicates: What Makes the g3-error Easy to Compute? -- Formal Concept Analysis: Theoretical Advances -- Squared symmetric formal contexts and their connections with correlation matrices -- Aggregation Functions and Extent Structure Preservation in Formal Concept Analysis -- On pseudointents in Fuzzy Formal Concept Analysis -- Maximal Ordinal Two-Factorizations -- A Note on the Number of (Maximal) Antichains in the Lattice of set Partitions -- Formal Concept Analysis: Applications -- Formal Concept Analysis for Trace Clustering in Process Mining -- Summarization of massive RDF graphs using identifier classification -- Towards a Flexible and Scalable Data Stream Algorithm in FCA -- Modelling and Explanation -- Postmodern Human-Machine Dialogues: a Pedagogical Inquiry Experiment -- Conceptual Modelling with Euler+ Diagrams -- Automatic Textual Explanations of Concept Lattices -- Semantic Web and Graphs -- Ontology Population from French Classified Ads -- Graph Extraction for Assisting Crash Simulation Data Analysis -- Posters -- Factorization of formal contexts from modal operators -- Towards confirmation measures to mixed attribute implications -- Concept lattices as a reduction tool for fuzzy relation equations -- Analysis of Slovak Court Decisions by Formal Concept Analysis and Machine Learning Methods. 330 $aThis book constitutes the refereed deadline proceedings of the 28th International Conference on Graph-Based Representation and Reasoning, ICCS 2023, held in Berlin, Germany, during September 11?13, 2023. The 9 full papers, 5 short papers and 4 Posters are included in this book were carefully reviewed and selected from 32 submissions. They were organized in topical sections as follows: Complexity and Database Theory, Formal Concept Analysis: Theoretical Advances, Formal Concept Analysis: Applications, Modelling and Explanation, Semantic Web and Graphs, Posters. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aComputer science 606 $aApplication software 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aTheory of Computation 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aComputer science. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aTheory of Computation. 615 24$aComputer and Information Systems Applications. 676 $a003.54 700 $aOjeda-Aciego$b Manuel$01423741 702 $aSauerwald$b Kai 702 $aJa?schke$b Robert 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739477303321 996 $aGraph-Based Representation and Reasoning$93571246 997 $aUNINA