Knowledge Science, Engineering and Management

15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part III
Herausgegeben:Memmi, Gerard; Yang, Baijian; Kong, Linghe; Zhang, Tianwei; Qiu, Meikang

• Broschiertes Buch

Produktbeschreibung

The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6-8, 2022.
The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections:
Volume I:Knowledge Science with Learning and AI (KSLA)
Volume II:Knowledge Engineering Research and Applications (KERA)
Volume III:Knowledge Management with Optimization and Security (KMOS)

Produktdetails

• Lecture Notes in Computer Science 13370
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-10988-1
• 1st ed. 2022
• Seitenzahl: 772
• Erscheinungstermin: 31. Juli 2022
• Englisch
• Abmessung: 235mm x 155mm x 42mm
• Gewicht: 1147g
• ISBN-13: 9783031109881
• ISBN-10: 3031109880
• Artikelnr.: 64192419

Inhaltsangabe

Knowledge Management with Optimization and Security (KMOS).- Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training.- Spatial Semantic Learning for Travel Time Estimation.- A Fine-Grained Approach for Vulnerabilities Discovery using Augmented Vulnerability Signatures.- PPBR-FL: a Privacy-preserving and Byzantine-robust Federated Learning System.- GAN-Based Fusion Adversarial Training.- MAST-NER: A Low-Resource Named Entity Recognition Method based on Trigger Pool.- Fuzzy information measures feature selection using descriptive statistics data.- Prompt-Based Self-Training Framework for Few-Shot Named Entity Recognition.- Learning Advisor-Advisee Relationship from Multiplex Network Structure.- CorefDRE: Coref-aware Document-level Relation Extraction.- Single Pollutant Prediction Approach by Fusing MLSTM and CNN.- A Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection.- Detection DDoS of attacks based on federated learning with Digital Twin Network.- A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy.