소장자료
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020 | ▼a9789819989799▼9978-981-99-8979-9▲ | ||
024 | 7 | ▼a10.1007/978-981-99-8979-9▼2doi▲ | |
050 | 4 | ▼aQ334-342▲ | |
050 | 4 | ▼aTA347.A78▲ | |
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245 | 1 | 0 | ▼aBig Data▼h[electronic resource] :▼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 Singapore :▼bImprint: Springer,▼c2023.▲ | |
300 | ▼aXIV, 195 p. 70 illus., 63 illus. in color.▼bonline resource.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
347 | ▼atext file▼bPDF▼2rda▲ | ||
490 | 1 | ▼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.▲ | ||
650 | 0 | ▼aArtificial intelligence.▲ | |
650 | 0 | ▼aData mining.▲ | |
650 | 0 | ▼aImage processing▼xDigital techniques.▲ | |
650 | 0 | ▼aComputer vision.▲ | |
650 | 0 | ▼aInformation technology▼xManagement.▲ | |
650 | 1 | 4 | ▼aArtificial Intelligence.▲ |
650 | 2 | 4 | ▼aData Mining and Knowledge Discovery.▲ |
650 | 2 | 4 | ▼aComputer Imaging, Vision, Pattern Recognition and Graphics.▲ |
650 | 2 | 4 | ▼aComputer Application in Administrative Data Processing.▲ |
700 | 1 | ▼aChen, Enhong.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aGao, Yang.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aCao, Longbing.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aXiao, Fu.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aCui, Yiping.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aGu, Rong.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aWang, Li.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aCui, Laizhong.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aYang, Wanqi.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9789819989782▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9789819989805▲ |
830 | 0 | ▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v2005▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-981-99-8979-9▲ |

Big Data[electronic resource] : 11th CCF Conference, BigData 2023, Nanjing, China, September 8–10, 2023, Proceedings
자료유형
국외eBook
서명/책임사항
Big Data [electronic resource] : 11th CCF Conference, BigData 2023, Nanjing, China, September 8–10, 2023, Proceedings / edited by Enhong Chen, Yang Gao, Longbing Cao, Fu Xiao, Yiping Cui, Rong Gu, Li Wang, Laizhong Cui, Wanqi Yang.
개인저자
판사항
1st ed. 2023.
형태사항
XIV, 195 p. 70 illus., 63 illus. in color. online resource.
총서사항
Communications in Computer and Information Science , 1865-0937 ; 2005
Communications in Computer and Information Science , 1865-0937 ; 2005
Communications in Computer and Information Science , 1865-0937 ; 2005
내용주기
Long-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.
요약주기
This 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.
주제
ISBN
9789819989799
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