Databases Theory and Applications

34th Australasian Database Conference, ADC 2023, Melbourne, VIC, Australia, November 1-3, 2023, Proceedings

Häftad, Engelska, 2023

Av Zhifeng Bao, Renata Borovica-Gajic, Ruihong Qiu, Farhana Choudhury, Zhengyi Yang

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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 submissions.

Produktinformation

Utgivningsdatum2023-11-08
Mått155 x 235 x 22 mm
Vikt610 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor386
FörlagSpringer International Publishing AG
ISBN9783031478420

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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 forNon-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.