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Databases Theory and Applications : 34th Australasian Database Conference, ADC 2023, Melbourne, VIC, Australia, November 1-3, 2023, Proceedings / edited by Zhifeng Bao, Renata Borovica-Gajic, Ruihong Qiu, Farhana Choudhury, Zhengyi Yang.

Springer Nature - Springer Computer Science eBooks 2024 English International Available online

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Format:
Book
Author/Creator:
Bao, Zhifeng.
Contributor:
Borovica-Gajic, Renata.
Qiu, Ruihong.
Choudhury, Farhana.
Yang, Zhengyi.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 14386
Language:
English
Subjects (All):
Database management.
Data structures (Computer science).
Information theory.
Computer networks.
Database Management System.
Database Management.
Data Structures and Information Theory.
Computer Communication Networks.
Local Subjects:
Database Management System.
Database Management.
Data Structures and Information Theory.
Computer Communication Networks.
Physical Description:
1 online resource (392 pages)
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Summary:
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. They were organized in topical sections named: Mining Complex Types of Data, Natural Language Processing and Text Analysis, Machine Learning and Computer Vision, Database Systems and Data Storage, Data Quality and Fairness for Graphs and Graph Mining and Graph Algorithms.
Contents:
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.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Bao, Zhifeng Databases Theory and Applications
ISBN:
9783031478437
3031478436
OCLC:
1409031184

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