Produktbild: Web Information Systems Engineering - WISE 2025
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Web Information Systems Engineering - WISE 2025 26th International Conference, Marrakech, Morocco, December 15–17, 2025, Proceedings, Part I

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.05.2026

Abbildungen

XIX, 613 p. 171 illus., 127 illus. in color.

Herausgeber

Irfan Awan + weitere

Verlag

Springer Singapore

Seitenzahl

613

Maße (L/B/H)

23,5/15,5/3,4 cm

Gewicht

949 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9573-93-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.05.2026

Abbildungen

XIX, 613 p. 171 illus., 127 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

613

Maße (L/B/H)

23,5/15,5/3,4 cm

Gewicht

949 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9573-93-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Web Information Systems Engineering - WISE 2025

  • .- AI and Machine Learning.



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    .- Ilargi: a GPU Compatible Factorized ML Model Training Framework.



    .- Multi-Armed Bandit-Based Client Selection for Efficient Federated Learning.



    .- Hybrid Adaptive Resonance Theory Model for Online Noisy Data Classification.



    .- Recommender Systems I.



    .- Intra-Domain Preference Modeling with Cross-Domain Dependency Alignment for Cross-Domain Sequential Recommendation.



    .- CLARE : A Category-Aware RAG-Based Framework for Recommending Learning Objects in Education and Professional Training.



    .- Recommending the Right Recommender System Software: A Practical Guide.



    .- Causal Insights for Debiasing Recommender Systems: Future Directions and Challenges.



    .- Web Applications and Services.



    .- Collaborative Multi-Agent Anomaly Detection in Web Services using Machine Learning and Semantic Reasoning.



    .- A Web-based Fauna Taxonomic Rank Identification Application.    



    .- Evidence Retrieval for Chinese Tabular Data in the Web Based on Dense Passage Retriever.



    .- A Multi-Layered Approach for Proactive Counterfeit Detection and Autonomous Decision-Making in Pharmaceutical Supply Chains.



    .- Security and Privacy.



    .- Verifying security requirements of fog services communication with Event-B.



    .- Convergence and Variability Assessment and Analysis of QGANs and GANs for Advanced Cybersecurity Applications: An Empirical Study.



    .- MOMA-DPK: A Multi-Objective Memetic Algorithm for Privacy-Utility Trade-Offs in Differentially Private K-means Clustering.



    .- FP-BSS: Full Privacy Blockchain-Based Self-Tallying Score Voting Protocol.



    .- Large Language Models I.



    .- FORA: An Efficient One-for-All Cross-Task Reasoning Framework for Financial Domain via LLMs.



    .- A Comparative Study of ASRs, LLMs, and Few-Shot Learning for Emotion Recognition in Tunisian Dialect.



    .- CMANet:Sarcasm Detection with LLMs and Cross-Modal Adaptive Attention Networks.



    .- Small Scale, Strategic Advantage: Enhancing LLMs with Domain Knowledge Graph for StarCraft II.



    .- Deep Learning and Networks.



    .- Interpretable Tree-Structured Deep Learning Model for Extracting Cognitive Pathways from Social Media.



    .- Adaptive Online Index Selection with a Noisy Dueling Deep Q-Network.



    .- An Advanced-PER based Deep Reinforcement Learning Method for Adversarial Maritime Mission Planning.    



    .- Deep Cross Networks for Intelligent Prostate Cancer Risk Prediction.



    .- Knowledge Graphs I.



    .- Graph Reachability Queries: Empirical Evaluation and Practical Guidelines.



    .- Context-Aware Hybrid Neuro-Symbolic Approach for Knowledge Graph Enrichment.



    .- stvd-kg: A Knowledge Graph for French Electronical Program Guides.



    .- DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generation.



    .- Security and Networking.



    .- PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection.



    .- TITID: A Transformer-Based IoT Traffic Intrusion Detection Model for MQTT Networks.



    .- Explainable CAN Intrusion Detection via Feature Extraction.



    .- Extending Hyperbolic Temporal Graph Neural Network to Anomaly Detection for secure Cyber-spaces.



    .- Security and Trust.



    .- Building Trust on User Attributes for Identity Assurance Frameworks.



    .- GCN-InjectionDetect: Injection attack detection method based on Graph Convolutional Networks.



    .- Improving Trust in AI-Driven Diabetes Prediction: Explainability Through SHAP and Counterfactual Analysis.



    .- SLF-DF: a Framework for Fraud Detection in Airdrop Business Processes.



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    .- EmoCIE: Emotion-Cause Identification with Intensity Estimation.



    .- Knowledge Injection in a Neural Model for Aspect-Based Sentiment Classification.



    .- Model Knowledge Injection for Aspect-Based Sentiment Classification.



    .- Happiness Maximization Queries with Two-sided Fairness.