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245 1 0 _aWeb and Big Data
_h[electronic resource] :
_b8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part III /
_cedited by Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVII, 515 p. 190 illus., 177 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
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338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14963
505 0 _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 (α, β, γ)-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.
520 _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.
541 _fUABC ;
_cPerpetuidad
650 0 _aBig data.
650 0 _aData structures (Computer science).
650 0 _aInformation theory.
650 0 _aApplication software.
650 0 _aImage processing
_xDigital techniques.
650 0 _aComputer vision.
650 0 _aData mining.
650 1 4 _aBig Data.
650 2 4 _aData Structures and Information Theory.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aZhang, Wenjie.
_eeditor.
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700 1 _aTung, Anthony.
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700 1 _aZheng, Zhonglong.
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700 1 _aYang, Zhengyi.
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700 1 _aWang, Xiaoyang.
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700 1 _aGuo, Hongjie.
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
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856 4 0 _zLibro electrónico
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