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Record Nr. |
UNISA996635671103316 |
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Autore |
Chen Tong |
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Titolo |
Databases Theory and Applications : 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, and Tokyo, Japan, December 16–18, 2024, Proceedings / / edited by Tong Chen, Yang Cao, Quoc Viet Hung Nguyen, Thanh Tam Nguyen |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (545 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15449 |
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Altri autori (Persone) |
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CaoYang |
NguyenQuoc Viet Hung |
NguyenThanh Tâm |
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Disciplina |
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Soggetti |
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Database management |
Data structures (Computer science) |
Information theory |
Computer networks |
Database Management System |
Database Management |
Data Structures and Information Theory |
Computer Communication Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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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 -- α 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. |
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Sommario/riassunto |
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This LNCS volume constitutes the referred proceedings of 35th Australasian Database Conference, ADC 2024, held in Gold Coast, QLD, Australia and Tokyo, Japan, 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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