LEADER 04246nam 22005895 450 001 9910299910903321 005 20200703064623.0 010 $a3-319-99626-6 024 7 $a10.1007/978-3-319-99626-4 035 $a(CKB)4100000006674857 035 $a(DE-He213)978-3-319-99626-4 035 $a(MiAaPQ)EBC6297005 035 $a(PPN)231457332 035 $a(EXLCZ)994100000006674857 100 $a20181027d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Distributed Computing XII /$fedited by Javier Del Ser, Eneko Osaba, Miren Nekane Bilbao, Javier J. Sanchez-Medina, Massimo Vecchio, Xin-She Yang 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XV, 448 p. 108 illus.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v798 311 $a3-319-99625-8 320 $aIncludes bibliographical references and index. 327 $aPart I: Main Track -- Long distance in-links for ranking enhancement -- Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency -- Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures -- Slot Co-allocation Optimization in Distributed Computing with Heterogeneous Resources -- About Designing an Observer Pattern-Based Architecture for a Multi-Objective Metaheuristic Optimization Framework -- Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform -- Finding Best Compiler Options for Critical Software Using Parallel Algorithms -- Drift Detection over Non-stationary Data Streams using Evolving Spiking Neural Networks -- Part II: Energy -- A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms -- Bio-inspired approximation to MPPT under real irradiation conditions -- Part III: Industry -- Decision Making in Industry 4.0 Scenarios supported by Imbalanced Data Classification. 330 $aThis book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization and Deep/Shallow machine learning models, all of which are approached as technological drivers to enable autonomous reasoning and decision-making in complex distributed environments. Part of the book is also devoted to new scheduling and resource allocation methods for distributed computing systems. The book represents the peer-reviewed proceedings of the 12th International Symposium on Intelligent Distributed Computing (IDC 2018), which was held in Bilbao, Spain, from October 15 to 17, 2018. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v798 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a004.36 702 $aDel Ser$b Javier$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOsaba$b Eneko$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBilbao$b Miren Nekane$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSanchez-Medina$b Javier J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVecchio$b Massimo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYang$b Xin-She$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299910903321 996 $aIntelligent Distributed Computing XII$92537960 997 $aUNINA