Databases Theory and Applications (eBook, PDF)

35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, and Tokyo, Japan, December 16-18, 2024, Proceedings
Redaktion: Chen, Tong; Nguyen, Thanh Tam; Nguyen, Quoc Viet Hung; Cao, Yang

• Format: PDF

Produktbeschreibung

This LNCS volume constitutes the referred proceedings of 35th Australasian Database Conference, ADC 2024, held in Gold Coast, QLD, Australia, during December 16-18, 2024.

The 38 full papers included in these proceedings were carefully reviewed and selected from 90 submissions. They focus on latest advancements and innovative applications in database systems, data-driven applications, and data analytics.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 532
• Erscheinungstermin: 12. Dezember 2024
• Englisch
• ISBN-13: 9789819612420
• Artikelnr.: 72584187

Inhaltsangabe

Research Track Papers.- Robustness Analysis on Self Ensemble Models in Time Series Classification.- Queries Optimised LLM Empowered Active Learning for Social Media Analysis of Human Behaviour in Bushfire Evacuations.- An Experimental Comparison of RDF Systems on Cloud.- Hierarchical Spatial Temporal Graph Enhanced Model for Map Matching.- Stability Driven CNN Training with Lyapunov Based Dynamic Learning Rate.- TIformer A Transformer Based Framework for Time Series Forecasting with Missing Data.- Towards Comprehensive Innovation Landscape Technology Retrieval meets Large Language Models.- First Past the Post Evaluating Query Optimization in MongoDB.- High order Recommendation with Heterophilic Hypergraph Diffusion.- Sub Graph Sharing for Faster Betweenness Centrality Computation on Road Networks.- Mining Rare Temporal Pattern in Time Series.- Multi Slot Tag Assignment Problem in Billboard Advertisement.- Meta Learner Based Method for Classifying Skin Cancer Types from Dermoscopic Images Utilizing Deep Learning.- Exploring the Meaningfulness of Nearest Neighbor Search in High Dimensional Space.- Efficient Shortest Path Computation for Electric Vehicles in Time Dependent Networks.- Keyword based Betweenness Centrality Maximization in Attributed Graphs.- Efficient Answering of k Reachability on Temporal Bipartite Graphs.- Correlation between Macro Economic Variables and Financial Sector Australian Share Market Index.- Preference Learning Based on Dynamic Dual Cognition for Group Recommendation.- Distributed Hop Constrained s t Simple Path Enumeration in Labelled Graphs.- Time Efficient Path Planning Algorithm for Mobile Robots on Uneven Terrain.- Mining Irregular Time Series Data with Noisy Labels A Risk Estimation Approach.- CLMM Uncertainty Aware Map Matching for Bluetooth Data through Contrastive Learning.- Tri Modality Collaborative Learning for Person Re Identification.- Graph Neural Patching for Cold Start Recommendations.- GIG Graph Data Imputation with Graph Differential Dependencies.- Persistent Temporal Clique Enumeration with an Application.- Transferable Attacks for Semantic Segmentation.- Mitigate the Damage of Rumor on Susceptible Group.- Knowledge Assisted Small Object Detection.- Knowledge Extraction of Combat Document via Sequence Generation.- MIDNet Neural Based Efficient Delivery of Multispectral Satellite Image Data.- A Lifelong Conflict Aware AGV Routing System.- BustedURL Collaborative Multi Agent System for Real Time Malicious URL Detection.- Sherpherding Track Papers.- Recommendation Algorithm to Further Ethereum Client Diversity.- Maximum Weight Relative Fair Clique Computation in Attributed Graphs.- An Experimental Evaluation of LLM on Image Classification.- Facial Memorization of Diffusion Model.