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Record Nr. |
UNISA996696878803316 |
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Autore |
Zhu Feida |
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Titolo |
Database Systems for Advanced Applications : 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26–29, 2025, Proceedings, Part III / / edited by Feida Zhu, Philip S. Yu, Akiyo Nadamoto, Ee-Peng Lim, Kyuseok Shim, Wei Ding, Bingxue Zhang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (878 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15988 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Machine learning |
Database management |
Computers |
Computer networks |
Computers, Special purpose |
Application software |
Machine Learning |
Database Management System |
Computing Milieux |
Computer Communication Networks |
Special Purpose and Application-Based Systems |
Computer and Information Systems Applications |
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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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-- Graph. -- Scalable GNN Training via Parameter Freeze and Layer Detachment. -- Dual-prompting based Event Anomaly Detection in Dynamic Graphs. -- STM: A Spatio-Temporal Model for Dynamic Graph Fraud Detection. -- ICFF-Net: Interlaced cross-attention feature fusion network for music genre classification. -- Structure-aware Self-supervised Graph Representation Learning. -- NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization. -- Efficient Maximum (α, β)-Quasi Biclique Computation on Bipartite Graphs. |
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Sommario/riassunto |
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This six-volume set LNCS 15986-15991 constitutes the proceedings of the 30th International Conference on Database Systems for Advanced Applications, DASFAA 2025, held in Singapore, during May 26–29, 2025. The 136 full papers presented in this book together with 89 short papers were carefully reviewed and selected from 731 submissions.They cover topics such as Part I- Machine Learning and Text. Part II- Emerging Application; NLP and Spatial-Temporal. Part III- Graph; Knowledge Graph. Part V- Recommendation and Security & Privacy. Part VI- Language Model; Industry Papers and Demo Papers. |
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