Web and Big Data
Springer Nature (Verlag)
978-981-97-7231-5 (ISBN)
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.
.- Natural language processing.
.- A Boundary Feature enhanced Span-based Nested Named Entity Recognition Method.
.- Enhancing NER with Sentence-Level Entity Detection as an simple Auxiliary Task.
.- CeER: A Nested Name Entity Recognition Model Incorporating Gaze Feature.
.- External Knowledge Enhancing Meta-Learning Framework for Few-shot Text Classification via Contrastive Learning and Adversarial Network.
.- Filter-GLAT: Filter Glanced Decoder Output for Non-autoregressive Transformer.
.- Joint Semantic Relation Extraction for Multiple Entity Packets.
.- RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis.
.- Explicit Relation-Enhanced AMR for Document-Level Event Argument Extraction with Global-Local Attention.
.- Parallel Program Generation for Hybrid Tabular-Textual Question Answering.
.- CGSL: Collaborative Graph and Segment Learning Based Aspect-level Sentiment Analysis Model.
.- SE-GCN: A Syntactic Information Enhanced Model for Aspect-based Sentiment Analysis.
.- Generative AI and LLM.
.- Similarity Retrieval and Medical Cross-modal Attention based Medical Report Generation.
.- Answering Spatial Commonsense Questions based on Chain-of-Thought Reasoning with Adaptive Complexity.
.- LLM-Based Empathetic Response through Psychologist-Agent Debate.
.- UFI4ER: An Utterance-Level Feature Dynamic Interaction Model for Cognition-Enhanced Empathetic Response Generation.
.- Enhancing Continual Relation Extraction with Concept Aware Dynamic Memory Optimization.
.- Knowledge-Enhanced Context Representation for Unbiased Scene Graph Generation.
.- Modal Complementarity based on Multimodal Large Language Model for Text-based Person Retrieval.
.- Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.
.- Watch Your Words: Successfully Jailbreak LLM by Mitigating the "Prompt Malice".
.- Generating Adversarial Texts by the Universal Tail Word Addition Attack.
.- Smaller Can Be Better: Efficient Data Selection for Pre-training Models.
.- How to Enhance Low-Resource Knowledge Tracing Tasks? A Pre-training and Gradient Adjusting Fine-tuning Framework.
.- Computer Vision.
.- A Learned Image Compression Method for Electricity Tower Monitoring Based on the Transformer-CNN-Based Network.
.- A Lightweight OCT Image Classification Model with Low Configuration and High Efficiency.
.- An Enhanced MobileNet with Multi-Scale Aggregation for DR Classification.
.- GIPUT: Maximizing Photo Coverage Efficiency for UAV Trajectory.
.- LPLA:The Adversarial Attack against License Plate Recognition Systems.
.- PW-CM: A Medical Image Segmentation Based on Consistency Model by Using Patches and Wavelet Transforms.
.- WS-GCA: A Synergistic Framework for Precise Semantic Segmentation with Comprehensive Supervision.
.- YOLO-VanNet: An improved YOLOv5 method for PCB surface defect detection.
.- Long video scoring method fusing high-precision pose and spatio-temporal attention modules.
.- Recommender System.
.- Filter-enhanced Multi-interest Network for Sequential Recommendation.
Erscheinungsdatum | 29.08.2024 |
---|---|
Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | 140 Illustrations, color; 13 Illustrations, black and white; XVIII, 497 p. 153 illus., 140 illus. in color. |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Algorithmen | |
Schlagworte | Advanced database and Web applications • Block chain models and applications • Data engineering for big remote sensing data • Data Mining • Graph and social network analysis • Graph data, RDF, social networks • information extraction • Information Retrieval • knowledge graphs • machine learning • Multimedia Information Systems • Natural Language Processing • Parallel and distributed data management • query processing and optimization • Recommender Systems • representation learning • Security, privacy, and trust • spatial and temporal databases • Streams, complex event processing • Web search and meta-search |
ISBN-10 | 981-97-7231-1 / 9819772311 |
ISBN-13 | 978-981-97-7231-5 / 9789819772315 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich