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020 _a9789819989799
024 7 _a10.1007/978-981-99-8979-9
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aHT166
_b2023 EB
245 0 0 _aBig Data :
_b11th CCF Conference, BigData 2023, Nanjing, China, September 8-10, 2023, Proceedings
_cedited by Enhong Chen, Yang Gao, Longbing Cao, Fu Xiao, Yiping Cui, Rong Gu, Li Wang, Laizhong Cui, Wanqi Yang
250 _a1st ed 2023
264 1 _aSingapore
_bSpringer Nature
_c2023
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aCommunications in Computer and Information Science
_x1865-0937
_v2005
505 0 _aLong-term and Short-term Perception in Knowledge Tracing -- A Transfer Learning Enhanced Decomposition-Based Hybrid Framework for Forecasting Multiple Time-Series -- Dataset Search over Integrated Metadata from China's Public Data Open Platforms -- Integrating DCNNs with Genetic Algorithm for Diabetic Retinopathy Classification -- The Convolutional Neural Network Combing Feature-aligned and Attention Pyramid for Fine-Grained Visual Classification -- OCWYOLO:A Road Depression Detection Method -- Explicit Exploring Geometric Modality for Shape-enhanced Single-view 3D Face Reconstruction -- Fine edge and texture prior guided super resolution reconstruction network -- UD-GCN: Uncertainty-Based Semi-Supervised Deep GCN for Imbalanced Node Classification -- Twin Support Vector Regression with Privileged Information -- Detecting Social Robots Based on Multi-View Graph Transformer -- Scheduling Containerized Workflow in Multi-Cluster Kubernetes -- A Study of Electricity Theft Detection Method Based on Anomaly Transformer -- Application and Research on a Large Model Training Method Based on Instruction Fine-Tuning in Domain-Specific Tasks.
520 _aThis book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, China, in September 2023. The 14 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.
988 _aSpringer_Computer_2023
650 7 _2embne
_9209860
_aUrbanismo
_xAspectos ambientales
_vCongresos y asambleas
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-8979-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2024
_dz
_eu
_zSI