LEADER 06356nam 22007815 450 001 9910886080403321 005 20240828130259.0 010 $a981-9772-38-9 024 7 $a10.1007/978-981-97-7238-4 035 $a(MiAaPQ)EBC31622047 035 $a(Au-PeEL)EBL31622047 035 $a(CKB)34455960700041 035 $a(DE-He213)978-981-97-7238-4 035 $a(OCoLC)1455128146 035 $a(EXLCZ)9934455960700041 100 $a20240828d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWeb and Big Data $e8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 ? September 1, 2024, Proceedings, Part III /$fedited by Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (525 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14963 311 08$a981-9772-37-0 327 $a -- Spatial and Temporal Data. -- Temporalformer: A Temporal Decomposition Causal Transformer Network For Wind Power Forecasting. -- MSCFNet: A Multi-Scale Spatial and Channel Fusion Network for Geological Environment Remote Sensing Interpreting. -- TS-HCL: Hierarchical Layer-wise Contrastive Learning for Unsupervised Domain Adaptation on Time-Series. -- Dynamic-Static Fusion for Spatial-Temporal Anomaly Detection and Interpretation in Multivariate Time Series. -- MFCD:A deep learning method with fuzzy clustering for time series anomaly detection. -- Graph Neural Network. -- SBGMN: A Multi-View Sign Prediction Network for Bipartite Graphs. -- Product Anomaly Detection on Heterogeneous Graphs with Sparse Labels. -- Generic and Scalable Detection of Risky Transactions Using Density Flows: Applications to Financial Networks. -- Attributed Heterogeneous Graph Embedding with Meta-graph Attention. -- Automated Multi-scale Contrastive Learning with Sample-awareness for Graph Classification. -- CGAR: A Contrastive Graph Attention Residual Network for Enhanced Fake News Detection. -- GCH: Graph contrastive Learning with Higher-order Networks. -- LPRL-GCNN for Multi-Relation Link Prediction in Education. -- Multi-view Graph Neural Network for Fair Representation Learning. -- MERGE: Multi-View Relationship Graph Network for Event-Driven Stock Movement Prediction. -- Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection. -- Graph Mining. -- Robust Local Community Search over Large Heterogeneous Information Networks. -- Community discovery in social network via dual-technique. -- CSGTM: Capsule Semantic Graph-Guided Latent Community Topics Discovery. -- Efficient (?, ?, ?)-Core Search in Bipartite Graphs Based on Bi-triangles. -- Identifying Rank-happiness Maximizing Sets under Group Fairness Constraints. -- Reachability-Aware Fair Influence Maximization. -- Towards Efficient Heuristic Graph Edge Coloring. -- Tree and Graph based Two-Stages Routing for Approximate Nearest Neighbor Search. -- Unbiasedly Estimate Temporal Katz Centrality and Identify Top-K Vertices in Streaming Graph. -- Database System and Query Optimization. -- Gar++: Natural Language to SQL Translation with Efficient Generate-and-Rank. -- A Composable Architecture for Cloud Transactional DBMS. -- Computing Minimum Subset Repair On Incomplete Data. -- Flutist: Parallelizing Transaction Processing for LSM-tree-based Relational Database. -- Poplar: Partially-Ordered Parallel Logging for Lower Isolation Levels. -- Table Embedding Models Based on Contrastive Learning for Improved Cardinality Estimation. 330 $aThe five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30?September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System. Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14963 606 $aBig data 606 $aData structures (Computer science) 606 $aInformation theory 606 $aApplication software 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aData mining 606 $aBig Data 606 $aData Structures and Information Theory 606 $aComputer and Information Systems Applications 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aData Mining and Knowledge Discovery 615 0$aBig data. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aApplication software. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aData mining. 615 14$aBig Data. 615 24$aData Structures and Information Theory. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aData Mining and Knowledge Discovery. 676 $a005.7 700 $aZhang$b Wenjie$01769181 701 $aTung$b Anthony$01769182 701 $aZheng$b Zhonglong$01769183 701 $aYang$b Zhengyi$01437866 701 $aWang$b Xiaoyang$01769184 701 $aGuo$b Hongjie$01769185 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910886080403321 996 $aWeb and Big Data$94236930 997 $aUNINA