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Databases Theory and Applications 34th Australasian Database Conference, ADC 2023, Melbourne, VIC, Australia, November 1-3, 2023, Proceedings /

This book constitutes the refereed proceedings of the 34th Australasian Database Conference on Databases Theory and Applications, ADC 2023, held in Melbourne, VIC, Australia, during November 1-3, 2023. The 26 full papers presented in this volume are carefully reviewed and selected from 41 submission...

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Guardat en:
Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Bao, Zhifeng (Editor), Borovica-Gajic, Renata (Editor), Qiu, Ruihong (Editor), Choudhury, Farhana (Editor), Yang, Zhengyi (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edició:1st ed. 2024.
Col·lecció:Lecture Notes in Computer Science, 14386
Matèries:
Database management.
Data structures (Computer science).
Information theory.
Computer networks .
Database Management System.
Database Management.
Data Structures and Information Theory.
Computer Communication Networks.
Accés en línia:https://doi.org/10.1007/978-3-031-47843-7
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Taula de continguts:
  • Mining Complex Types of Data
  • kNN Join for Dynamic High-dimensional Data: A Parallel Approach
  • Take a Close Look at the Optimization of Deep Kernels for Non-parametric Two-sample Tests
  • Probabilistic Reverse Top-k Query on Probabilistic Data
  • Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis
  • Natural Language Processing and Text Analysis
  • Learning Implicit Sentiment for Explainable Review-Based Recommendation
  • Balanced and Explainable Social Media Analysis for Public Health with Large Language Models
  • Prompt-based Effective Input Reformulation for Legal Case Retrieval
  • Surveying the Landscape: Compound Methods for Aspect-Based Sentiment Analysis
  • Machine Learning and Computer Vision
  • Towards Reliable and Efficient Vegetation Segmentation for Australian Wheat Data Analysis
  • SMST: A Saliency Map to Scanpath Transformer
  • Multi-level Storage Optimization for Intermediate Data in AI Model Training
  • Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance
  • Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow
  • Database Systems and Data Storage
  • Health Status Assessment for HDDs based on Bi-LSTM and N-dimensional Similarity Metric
  • Why Query Plans are Different: An Automatic Detection and Inference System
  • An Empirical Analysis of Just-in-Time Compilation in Modern Databases
  • Relational Expressions for Data Transformation and Computation
  • Data Quality and Fairness for Graphs
  • Discovering Graph Differential Dependencies
  • Maximum Fairness-aware (k, r)-Core Identification in Large Graphs
  • IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs
  • Efficient Maximum Relative Fair Clique Computation in Attributed Graphs
  • Graph Mining and Graph Algorithms
  • Balanced Hop-Constrained Path Enumeration in Signed Directed Graphs
  • An Experimental Evaluation of Two Methods on Shortest Distance Queries over Small-world Graphs
  • Discovering Densest Subgraph over Heterogeneous Information Networks
  • Influence Maximization Revisited
  • On Directed Densest Subgraph Detection.

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