Web and Big Data 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part V /
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 carefu...
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| Institution som forfatter: | |
|---|---|
| Andre forfattere: | , , , , , |
| Format: | Electronisk eBog |
| Sprog: | engelsk |
| Udgivet: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Udgivelse: | 1st ed. 2024. |
| Serier: | Lecture Notes in Computer Science,
14965 |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-981-97-7244-5 |
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Indholdsfortegnelse:
- -- 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.