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  • Produktbild: Web Information Systems Engineering – WISE 2024
  • Produktbild: Web Information Systems Engineering – WISE 2024
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Web Information Systems Engineering – WISE 2024 25th International Conference, Doha, Qatar, December 2–5, 2024, Proceedings, Part II

Aus der Reihe Lecture Notes in Computer Science
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76,99 € UVP 85,59 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.12.2024

Abbildungen

XXII, 486 p. 144 illus., 130 illus. in color.

Herausgeber

Mahmoud Barhamgi + weitere

Verlag

Springer Singapore

Seitenzahl

486

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9605-66-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.12.2024

Abbildungen

XXII, 486 p. 144 illus., 130 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

486

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9605-66-8

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Web Information Systems Engineering – WISE 2024
  • Produktbild: Web Information Systems Engineering – WISE 2024

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    Social Media and News Analysis.


    .- Misinformation in Reels, Influence of Contextual Superimposed Texts in Short Videos.


    .- What Did The People Say? Evaluating the Effect of Comment Summarisation Tags on Perceived News Credibility Using Qualitative Approach.


    .- Are fact checkers effective in the post truth world? Assessing impact of fact checkers cross medium and platforms.


    .- Target-Specific Hate Trend Prediction on Social Network.


    .- Characterizing Collective Attention on Online Chats: A Three-Pronged Approach.


    .- The Influence of Social Networking Usage Experience and Activity on Preferences of Explainable Artificial Intelligence (XAI) Representation Methods in a Hate Speech Detection System.


    .- Language Model-Based Approach for Multiclass Cyberbullying Detection.


    .- MeTAN: Metaphoric Temporal Attention Network for depression detection on Social Media.


    .- EBUD: Evolving Disaster Burst Detection over Social Streams.


    .- MAPX: An explainable model-agnostic framework for the detection of false information on social media networks.


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    Graph Machine Learning on Web and Social.


    .- Knowledge Graph Relation Patterns Networks for Recommendations.


    .- Robust Graph Learning against Camouflaged Malicious Actors.


    .- Label-enhanced Cross-modal Hashing with Dual-semantic Learning.


    .- Towards Building a Lightweight and Powerful Computation Graph for Scalable GNN.


    .- Skill Vector Representation Learning for Collaborative Team Recommendation:A Comparative Study.


    .- Learning to Ask about Text Content in an Image with Fine-Grained Features.


    .- 
    Trustworthy Machine Learning.


    .- SARA: A Sparsity-Aware Efficient Oblivious Aggregation Service for Federated Matrix Factorization.


    .- VizardFL: Enabling Private Participation in Federated Learning Systems.


    .- Deceptive Waves: Embedding Malicious Backdoors in PPG Authentication.


    .- Exposing the Limitations of Machine Learning for Malware Detection Under Concept Drift.


    .- Intellectual Property Protection of Diffusion Models via the Watermark Diffusion Process.


    .- Evaluating Contrastive and Non-Contrastive Explanations for Language Models: A Study on Faithfulness and Plausibility.


    .- Model Extraction Attacks on Privacy-Preserving Deep Learning based Medical Services.


    .- On the Alignment of Group Fairness with Attribute Privacy.


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    Graph Data Management.


    .- RPQBench: A Benchmark for Regular Path Queries on Graph Data.


    .- Two Birds One Stone: Dual-Role Path Based Subgraph Matching Using Partial Evaluation.


    .- KRAFT: Leveraging Knowlegde Graphs for Interpretable Feature Generation.


    .- Neuralizing Graph Edit Distance Computation with Fine-Grained Matching Cost Prediction.


    .- Scalable Optimization of Graph Pattern Queries Using Summary Graphs.


    .- Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations.


    .- G-ETI: Incorporating Graph Information for Improved Unsupervised Event Type Induction.


    .- Estimation of Graph Features Based on Random Walks Using Neighbors' Properties.


    .- SemMatch: Semantics-Aware Matching for Causal Inference over Knowledge Graphs.