Web Information Systems and Applications : 21st International Conference, WISA 2024, Yinchuan, China, August 2-4, 2024, Proceedings (Lecture Notes in Computer Science) (2024)

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Web Information Systems and Applications : 21st International Conference, WISA 2024, Yinchuan, China, August 2-4, 2024, Proceedings (Lecture Notes in Computer Science) (2024)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 588 p.
  • 言語 ENG
  • 商品コード 9789819777068

Full Description

This book constitutes the refereed proceedings of the 21st International Conference on Web Information Systems and Applications, WISA 2024, held in Yinchuan, China, during August 2-4, 2024.

The 39 full papers and 11 short papers presented in this book were carefully selected and reviewed from 193 submissions. These papers have been organized in the following topical sections: Knowledge construction; Intelligent service; Intelligent computing; Large language model; Security; Information system applications.

Contents

.- Knowledge Construction.

.- Iterative Transfer Knowledge Distillation and Channel Pruning for Unsupervised Cross-domain Compression.

.- Aspect-based Sentiment Classification Model Based on Multi-View Information  Fusion.

.- GTGNN: Global graph and taxonomy tree for Graph Neural Network session-based recommendation.

.- Dual Learning Model of Code Summary and Generation based on Transformer.

.- Relation-Oriented Temporal Knowledge Graphs Completion Based on Recurrent Neural Network.

.- MMPDRec:A Denoising Model for Knowledge Concepts Recommendation Using Metapaths.

.- SPR: A Similar Projection Revisor for Complex Logical Reasoning over Knowledge Graphs.

.- An Generative Entity-Relation Extraction Model based on UIE for Legal Text.

.- Uncertain Knowledge Graph Completion with Rule Mining.

.- Intelligent Service. 

.- MAGAN: Mode Information and Attention-based GAN for Realistic Time Series Data Synthesis.

.- A Study on Context-Matching-Based Joint Training for Chinese Coreference Resolution.

.- DFCDR: Domain-aware Feature Decoupling and Fusion for Cross-Domain Recommendation.

.- Two-Stage Enhancement for Recommendation Systems Based on Contrastive Learning.

.- Popularity-aware Graph Neural Network with Global Context for Session-based Recommendation.

.- Enhancing Sentiment Analysis for Chinese Texts Using a BERT-Based Model with a Custom Attention Mechanism.

.- Contrastive Learning-Based Cross-Domain Data Augmentation for Aspect-Based Sentiment Analysis.

.- Intelligent Computing.

.- A Dynamic Convergence Criterion for Fast K-means Computations.

.- Efficient p-Biclique Query on Large Bipartite Networks.

.- High-dimensional Nearest Neighbor Search-based Blocking in Entity Resolution.

.- Top-k Collective Spatial Keyword Approximate Query.

.- SMSRD: A Streaming Graph Data Management System Based on Relational Database.

.- PLIS: Persistent Learned Index for Strings.

.- Dataset  Construction for  Fine-grained  Emotion  Analysis  in  Catering  Review Data.

.- Database Parameters Tuning via Bayesian Optimization with Domain Knowledge.

.- Attribute Multiplex Network Graph Clustering: Joint Contrastive And High-order Proximity.

.- Reliable Community Search over Dynamic Bipartite Graphs.

.- A Hierarchical Structure Explanation Method for Complex Tables.

.- Large Language Model.

.- Low-Parameter Federated Learning with Large Language Models.

.- The Journey of Language Models in Understanding Natural Language.

.- Instruction Tuning Large Language Models for Multimodal Relation Extraction Using LoRA.

.- Instruction Tuning with LLMs for Programming Exercise Generation.

.- Security.

.- A Blockchain-Based Dynamic Symmetric Searchable Encryption Scheme for Sharing Elderly Health Data.

.- Enhancing Medical Data Sharing with an Attribute-Based Dynamic Verifiable Searchable Encryption Scheme Using Blockchain.

.- Principal Component Analysis Scheme Based on Homomorphic Encryption in a Distributed Environment.

.- Secure Reinsurance Data Sharing Scheme Based on Blockchain and Multi-Level Attribute-Based Encryption.

.- Information System Applications.

.- Prediction Method of Type 2 Diabetes Mellitus Based on a Combination of Hybrid Feature Selection and Random Forest.

.- Named Entity Recognition Using EHealth-Bilstm-CRF Combine With Muti-Head Self-Attention for Chinese Medical Information.

.- AGNE: Attentional Graph Convolutional Network Embedding for Knowledge Concept Recommendation in MOOCs.

.- Sepsis Mortality Prediction with Electronic Health Records Based on Sequential and Attention-based Models.

.- Alleviating Collapsing Problem in Policy Topic Discovery via Soft Clustering-based Regulation.

.- Attention-based Spatial-Temporal Fusion Networks for Traffic Flow Prediction.

.- Detection Model of News Distortion Based on Chinese-German Bilingual Knowledge Graphs.

.- Knowledge-aware Self-Supervised Educational Resources Recommendation.

.- JEAPC: A Joint Extraction Model of Action Sequence from Chinese Instructions for Home Service Robot.

.- Spatio-Temporal Motion Topology Aware Graph Convolutional Network for Skeleton-based Action Recognition.

.- Breast mass classification in mammograms based on the fusion of traditional and deep features.

.- TRoute: Dynamic Time-dependent Route Recommendation on Road Networks.

.- MGCNet: A Multi-scale Grouped Convolution-based Seal Detection Method for Painting and Calligraphy Works.

.- The International Academic Map of AI Researches —Situation and Trend Exploration Based on WOS Database.

.- Enhancing Online Education Assessment: A Blockchain - Powered Reliable Behavior Indicator Assessment Framework.

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