TY  - BOOK
AU  - Zhang,Wenjie
AU  - Tung,Anthony
AU  - Zheng,Zhonglong
AU  - Yang,Zhengyi
AU  - Wang,Xiaoyang
AU  - Guo,Hongjie
ED  - SpringerLink (Online service)
TI  - Web and Big Data: 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part V 
T2  - Lecture Notes in Computer Science,
SN  - 9789819772445
AV  - QA76.9.D35 
U1  - 005.73 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Data structures (Computer science)
KW  - Information theory
KW  - Application software
KW  - Image processing
KW  - Digital techniques
KW  - Computer vision
KW  - Data mining
KW  - Big data
KW  - Data Structures and Information Theory
KW  - Computer and Information Systems Applications
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Data Mining and Knowledge Discovery
KW  - Big Data
N1  -  -- 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-7244-5
ER  -