Web Information Systems and Applications
Springer Nature (Verlag)
978-981-97-7706-8 (ISBN)
The 39 full papers and 11 short papers presented in this book were carefully selected and reviewed from 193 submissions.
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.
.- 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.
Erscheinungsdatum | 19.09.2024 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | 147 Illustrations, color; 60 Illustrations, black and white; XVII, 615 p. 207 illus., 147 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Artificial Intelligence • Big Data Analytics • Blockchain • Communication system • Computer Hardware • Computer Networks • Computer Security • Databases • Data Mining • Distributed Systems • Information Retrieval • information system • Large Language Models • machine learning • World Wide Web |
ISBN-10 | 981-97-7706-2 / 9819777062 |
ISBN-13 | 978-981-97-7706-8 / 9789819777068 |
Zustand | Neuware |
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