Web and Big Data

Web and Big Data

8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part V

Guo, Hongjie; Tung, Anthony; Zhang, Wenjie; Zheng, Zhonglong; Wang, Xiaoyang; Yang, Zhengyi

Springer Verlag, Singapore

08/2024

517

Mole

9789819772438

15 a 20 dias

Descrição não disponível.
.- 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.
Machine Learning;Data mining;Graph data, RDF, social networks;Natural language processing;Knowledge graphs;Recommender systems;Representation learning;Parallel and distributed data management;Data engineering for big remote sensing data;Information retrieval;Security, privacy, and trust;Query processing and optimization;Streams, complex event processing;Spatial and temporal databases;Block chain models and applications;Graph and social network analysis;Information extraction;Advanced database and Web applications;Web search and meta-search;Multimedia information systems