Web information systems engineering - WISE 2023 24th international conference, Melbourne, VIC, Australia, October 25-27, 2023 : proceedings
âText and Sentiment Analysis.-Ensemble Learning Model for Medical Text Classification.-Fuzzy Based Text Quality Assessment for Sentiment Analysis.-Prompt-Learning for Semi-Supervised Text Classification.-Label-Dependent Hypergraph Neural Network for Enhanced Multi-labelText Classification.-Fast Text...
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| Weitere Verfasser: | , , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Singapore
Springer
2023
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| Schriftenreihe: | Lecture notes in computer science
14306 |
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| Online Zugang: | Cover |
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| Zusammenfassung: | âText and Sentiment Analysis.-Ensemble Learning Model for Medical Text Classification.-Fuzzy Based Text Quality Assessment for Sentiment Analysis.-Prompt-Learning for Semi-Supervised Text Classification.-Label-Dependent Hypergraph Neural Network for Enhanced Multi-labelText Classification.-Fast Text Comparison Based on ElasticSearch and Dynamic Programming.-Question Answering and Information Retrieval.-User Context-aware Attention Networks for Answer Selection.-Towards Robust Token Embeddings for Extractive Question Answering.-Math Information Retrieval with Contrastive Learning of FormulaEmbeddings.-Social Media and News Analysis.-Influence Embedding from Incomplete Observations in Sina Weibo.-Dissemination of Fact-checked News does not Combat False News:Empirical Analysis.-Highly Applicable Linear Event Detection Algorithm on Social Mediawith Graph Stream.-Leveraging Social Networks for Mergers and Acquisitions Forecasting.-Enhancing Trust Prediction in Attributed Social Networks withSelf-Supervised Learning.-Security and Privacy.-Bilateral Insider Threat Detection: Harnessing Standalone andSequential Activities with Recurrent Neural Networks.-ATDG: An Automatic Cyber Threat Intelligence Extraction Model ofDPCNN and BIGRU Combined with Attention Mechanism.- Blockchain-Empowered Resource Allocation and Data Security forEfficient Vehicle Edge Computing.-Priv-S: Privacy-Sensitive Data Identification in Online Social Networks.-TLEF: Two-Layer Evolutionary Framework for t-closeness Anonymization.-A Dual-Layer Privacy-Preserving Federated Learning Framework.-A Privacy-Preserving Evolutionary Computation Framework forFeature Selection.-Local Difference-based Federated Learning Against Preference Profiling Attacks.-Proximity-based MAENS: A Computational Intelligence Method forPrivacy-Preserving Multiple Traveling Salesmen Problem.-Empowering Vulnerability Prioritization: A HeterogeneousGraph-Driven Framework for Exploitability Prediction.-ICAD: An Intelligent Framework for Real-Time Criminal Analytics andDetection.-Web Technologies.-Web Page Segmentation: A DOM-structural Cohesion Analysis Approach.-Learning to Select the Relevant History Turns in ConversationalQuestion Answering.-A Methodological Approach for Data-intensive Web Application Designon top of Data Lakes.-ESPRESSO: A Framework for Empowering Search on Decentralized Web.-Primary Building Blocks for Web Automation.-A Web Service Oriented Integration Solution for Capital FacilitiesInformation Handover.-Deep Neural Network based approach for IoT service QoS prediction.-Graph Embeddings and Link Predictions.-Path-KGE: Preference-aware Knowledge Graph Embedding with PathSemantics for Link Prediction.-Efficient Graph Embedding Method for Link Prediction viaIncorporating Graph Structure and Node Attributes.-Link Prediction for Opportunistic Networks Based on Hybrid SimilarityMetrics and E-LSTM-D Models.-FastAGEDs: Fast Approximate Graph Entity Dependency Discovery.-Topological Network Field Preservation For Heterogeneous GraphEmbedding.-Predictive Analysis and Machine Learning.-Federated Learning Performance on Early ICU Mortality Predictionwith Extreme Data Distributions.-TSEGformer:Time-Space dimension dependency transformer for use inmultivariate time series prediction.-Fraudulent Jobs Prediction Using Natural Language Processing andDeep Learning Sequential Models.-Prediction of Student Performance with Machine Learnin This book constitutes the proceedings of the 24th International Conference on Web Information Systems Engineering, WISE 2023, held in Melbourne, Victoria, Australia, in October 2023. The 33 full and 40 short papers were carefully reviewed and selected from 137 submissions. They were organized in topical sections as follows: text and sentiment analysis; question answering and information retrieval; social media and news analysis; security and privacy; web technologies; graph embeddings and link predictions; predictive analysis and machine learning; recommendation systems; natural language processing (NLP) and databases; data analysis and optimization; anomaly and threat detection; streaming data; miscellaneous; explainability and scalability in AI |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xx, 956 Seiten Diagramme |
| ISBN: | 9789819972531 978-981-99-7253-1 |