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Produktbild: Database Systems for Advanced Applications
Band 15991

Database Systems for Advanced Applications 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26–29, 2025, Proceedings, Part VI

Aus der Reihe Lecture Notes in Computer Science

79,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.01.2026

Abbildungen

XXIX, 519 p. 158 illus., 151 illus. in color.

Herausgeber

Feida Zhu + weitere

Verlag

Springer Singapore

Seitenzahl

519

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

826 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9541-57-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.01.2026

Abbildungen

XXIX, 519 p. 158 illus., 151 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

519

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

826 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9541-57-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Database Systems for Advanced Applications

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    .- Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification.

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    .- Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs.

    .- Annotating Table Metadata with Knowledge-Enhanced Pre-trained Language Model.

    .- An Evaluation Framework for Long-tail Senses in Large Language Models and Word Sense Disambiguation.

    .- Learnable Relational Knowledge Distillation For Language Model Compression.

    .- An Immersing Oriented Role-Playing Framework with Duplex Relationship Modeling.

    .- SCM: Enhancing Large Language Model with Self-Controlled Memory Framework.

    .- Dual-path Transformer: Aligning Text Embeddings with Market Movements for a New Paradigm of Cross-modal Financial Time Series Prediction.

    .- Explaining Black-box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective.

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    .- Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game.

    .- Content-based vs. Similarity-based Deep Learning Approaches for Walkability Assessment.

    .- Log Parsing with LLMs Featuring Self-Reflection and Continuous Refining.

    .- Industry Papers.

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    .- CloudChurn: Optimizing Enterprise Customer Churn Prediction in Cloud Services for Huawei Cloud.

    .- ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting.

    .- When Multi-scenario Meets Multi-attribute: Scenario and Attribute-aware Recommendation with Contrastive Learning.

    .- AdaF2M2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System.

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    .- Relation Discovery via Graph Neural Networks in the Era of Large Language Model.

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