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020 a97898197724459978-981-97-7244-5
024 a10.1007/978-981-97-7244-52doi
040 a221008
050 aQA76.9.D35
050 aQ350-390
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245 00 aWeb and Big Datah[electronic resource] :b8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part V /cedited by Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo.
250 a1st ed. 2024.
264 aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.
300 aXIX, 517 p. 181 illus., 159 illus. in color.bonline resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
347 atext filebPDF2rda
490 aLecture Notes in Computer Science,x1611-3349 ;v14965
505 a -- Anomaly Detection and Security. -- TWLog: Task Workflow-based Log Anomaly Detection. -- TS-AUBD: A Novel Two-Stage Method for Abnormal User Behavior Detection. -- Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy. -- Noisy Label Learning Based on Weighted Neighborhood Consistency. -- Information Retrieval. -- A New Learning-to-Rank Framework for Keyphrase Extraction using Multi-Scale Ratings and Feature Fusion. -- MIIGraph: Multi-Granularity InformationIntegration Graph for Document-Level Event Extraction. -- Multi-Granularity Neural Networks for Document-Level Relation Extraction. -- Improving Zero-Shot Information Retrieval with Mutual Validation of Generative and Pseudo- Relevance Feedback. -- Entity Semantic feature Fusion Network for Remote Sensing Image-Text Retrieval. -- Semantic Preservation and Hash Fusion Network for Unsupervised Cross-modal Retrieval. -- Machine Learning. -- Using High-Quality Feature for Weakly-Supervised Camouflaged Object Detection. -- ECHO: Adaptive Correction for Subgraph-wise Sampling with Lightweight Hyperparameter Search. -- A Parallel and Distributed Data Management Approach for MEC Using the Improved Parameterized Deep Q-Network. -- Clustering based Collaborative Learning Grouping for Knowledge Building. -- Unsupervised Feature Selection via Fuzzy K-Means and Sparse Projection. -- Open World Semi-Supervised Learning Based on Multi-Scale Enhanced Feature. -- ACD: Attention Driven Cognitive Diagnosis for New Learners Joining ITS. -- Data Augmentation for Knowledge Tracing based on Variational AutoEncoder and Efficient Network Reusing. -- An Epidemic Trend Prediction Model with Multi-Source Auxiliary Data. -- Lead-Aware Hierarchical Transformer and Convolution Fusion Network for ECG Classification. -- Reinforcement Learning From Clip. -- Self supervised contrastive learning combining equivariance and invariance. -- Demonstration Paper. -- FedPPQs: Optimizing Property Path Queries Evaluation over Federated RDF Systems. -- MPCPM: Multi-level Prevalent Co-location Pattern Miner. -- FGAQ: Accelerating Graph Analytical Queries Using FPGA. -- A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources. -- RocolSys: An Automatic Row-column Data Storage System For HTAP. -- MIPC-SHOPs: An Online System for Mining the Influence of Industrial Pollution on Cancer based on the Spatial High-influence Ordered-pair Patterns. -- A Perception System for DNS Root Service Status Based on Active and Passive Monitoring. -- Dynamic Route Planning System Integrated with Traffic Flow Sensing. -- NLITS: A Natural Language Interface for Time Series Databases. -- FOICP-Miner: An Interactive Spatial Pattern Recommendation System Based on Fuzzy-Ontology. -- SPCCP-Miner: Towards the Discovery of Congested Junctions. -- Crowd-OBIGA:A Crowdsourced Approach for Oracle Bone Inscriptions Glyph Annotation. -- NexusDB: A Large-Scale Distributed Time-Series Database for Industrial Scenarios. -- Industry Paper. -- LMStor: Storage acceleration design for large models. -- Enhancing Emergency Communications via UAV-Assisted Home-Independent Broadband Mobile Networks. -- FPTSF: A Failure Prediction of hard disks based on Time Series Features towards low quality dataset. -- PMEMgreSQL: Embracing PostgreSQL with Persistent Memory. -- The Development of a TLA+ Verified Correctness Raft Consensus Protocol. -- Robust Multi-vehicle Routing with Communication Enhanced Multi-agent Reinforcement Learning for Last-mile Logistics. -- A Dual-tower Model for Station-level Electric Vehicle Charging Demand Prediction. -- BPGNN-SBR: Behavior Progressive Graph Neural Networks for Session-Based Recommendation. -- Exploring Simple Architecture of Just-in-Time Compilation in Databases.
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.
650 aData structures (Computer science).
650 aInformation theory.
650 aApplication software.
650 aImage processingxDigital techniques.
650 aComputer vision.
650 aData mining.
650 aBig data.
650 aData Structures and Information Theory.
650 aComputer and Information Systems Applications.
650 aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 aData Mining and Knowledge Discovery.
650 aBig Data.
700 aZhang, Wenjie.eeditor.0(orcid)0000-0001-6572-26001https://orcid.org/0000-0001-6572-26004edt4http://id.loc.gov/vocabulary/relators/edt
700 aTung, Anthony.eeditor.0(orcid)0000-0002-5125-855X1https://orcid.org/0000-0002-5125-855X4edt4http://id.loc.gov/vocabulary/relators/edt
700 aZheng, Zhonglong.eeditor.0(orcid)0000-0002-5271-92151https://orcid.org/0000-0002-5271-92154edt4http://id.loc.gov/vocabulary/relators/edt
700 aYang, Zhengyi.eeditor.0(orcid)0000-0003-1772-68631https://orcid.org/0000-0003-1772-68634edt4http://id.loc.gov/vocabulary/relators/edt
700 aWang, Xiaoyang.eeditor.0(orcid)0000-0003-3554-32191https://orcid.org/0000-0003-3554-32194edt4http://id.loc.gov/vocabulary/relators/edt
700 aGuo, Hongjie.eeditor.0(orcid)0009-0004-8366-69981https://orcid.org/0009-0004-8366-69984edt4http://id.loc.gov/vocabulary/relators/edt
710 aSpringerLink (Online service)
773 tSpringer Nature eBook
776 iPrinted edition:z9789819772438
776 iPrinted edition:z9789819772452
830 aLecture Notes in Computer Science,x1611-3349 ;v14965
856 uhttps://doi.org/10.1007/978-981-97-7244-5
912 aZDB-2-SCS
912 aZDB-2-SXCS
912 aZDB-2-LNC
950 aComputer Science (SpringerNature-11645)
950 aComputer Science (R0) (SpringerNature-43710)
Web and Big Data[electronic resource] :8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part V /edited by Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo
종류
전자책
서명
Web and Big Data[electronic resource] :8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part V /edited by Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo
판 사항
1st ed. 2024.
형태사항
XIX, 517 p 181 illus, 159 illus in color online resource.
주기사항
The 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.
내용주기
/ Anomaly Detection and Security. / TWLog: Task Workflow-based Log Anomaly Detection. / TS-AUBD: A Novel Two-Stage Method for Abnormal User Behavior Detection. / Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy. / Noisy Label Learning Based on Weighted Neighborhood Consistency. / Information Retrieval. / A New Learning-to-Rank Framework for Keyphrase Extraction using Multi-Scale Ratings and Feature Fusion. / MIIGraph: Multi-Granularity InformationIntegration Graph for Document-Level Event Extraction. / Multi-Granularity Neural Networks for Document-Level Relation Extraction. / Improving Zero-Shot Information Retrieval with Mutual Validation of Generative and Pseudo- Relevance Feedback. / Entity Semantic feature Fusion Network for Remote Sensing Image-Text Retrieval. / Semantic Preservation and Hash Fusion Network for Unsupervised Cross-modal Retrieval. / Machine Learning. / Using High-Quality Feature for Weakly-Supervised Camouflaged Object Detection. / ECHO: Adaptive Correction for Subgraph-wise Sampling with Lightweight Hyperparameter Search. / A Parallel and Distributed Data Management Approach for MEC Using the Improved Parameterized Deep Q-Network. / Clustering based Collaborative Learning Grouping for Knowledge Building. / Unsupervised Feature Selection via Fuzzy K-Means and Sparse Projection. / Open World Semi-Supervised Learning Based on Multi-Scale Enhanced Feature. / ACD: Attention Driven Cognitive Diagnosis for New Learners Joining ITS. / Data Augmentation for Knowledge Tracing based on Variational AutoEncoder and Efficient Network Reusing. / An Epidemic Trend Prediction Model with Multi-Source Auxiliary Data. / Lead-Aware Hierarchical Transformer and Convolution Fusion Network for ECG Classification. / Reinforcement Learning From Clip. / Self supervised contrastive learning combining equivariance and invariance. / Demonstration Paper. / FedPPQs: Optimizing Property Path Queries Evaluation over Federated RDF Systems. / MPCPM: Multi-level Prevalent Co-location Pattern Miner. / FGAQ: Accelerating Graph Analytical Queries Using FPGA. / A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources. / RocolSys: An Automatic Row-column Data Storage System For HTAP. / MIPC-SHOPs: An Online System for Mining the Influence of Industrial Pollution on Cancer based on the Spatial High-influence Ordered-pair Patterns. / A Perception System for DNS Root Service Status Based on Active and Passive Monitoring. / Dynamic Route Planning System Integrated with Traffic Flow Sensing. / NLITS: A Natural Language Interface for Time Series Databases. / FOICP-Miner: An Interactive Spatial Pattern Recommendation System Based on Fuzzy-Ontology. / SPCCP-Miner: Towards the Discovery of Congested Junctions. / Crowd-OBIGA:A Crowdsourced Approach for Oracle Bone Inscriptions Glyph Annotation. / NexusDB: A Large-Scale Distributed Time-Series Database for Industrial Scenarios. / Industry Paper. / LMStor: Storage acceleration design for large models. / Enhancing Emergency Communications via UAV-Assisted Home-Independent Broadband Mobile Networks. / FPTSF: A Failure Prediction of hard disks based on Time Series Features towards low quality dataset. / PMEMgreSQL: Embracing PostgreSQL with Persistent Memory. / The Development of a TLA+ Verified Correctness Raft Consensus Protocol. / Robust Multi-vehicle Routing with Communication Enhanced Multi-agent Reinforcement Learning for Last-mile Logistics. / A Dual-tower Model for Station-level Electric Vehicle Charging Demand Prediction. / BPGNN-SBR: Behavior Progressive Graph Neural Networks for Session-Based Recommendation. / Exploring Simple Architecture of Just-in-Time Compilation in Databases.
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