Del 13368 - Lecture Notes in Computer Science

Knowledge Science, Engineering and Management

15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I

Häftad, Engelska, 2022

AvGerard Memmi,Baijian Yang,Linghe Kong,Tianwei Zhang,Meikang Qiu

1 659 kr

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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.

Produktinformation

Utgivningsdatum2022-07-24
Mått155 x 235 x 42 mm
Vikt1 165 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor753
FörlagSpringer International Publishing AG
ISBN9783031109829

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT
Programmeringsböcker inom Data och IT
Artificiell intelligens inom Data och IT
Referensverk och tvärvetenskap inom Samhälle och politik

Knowledge Science with Learning and AI (KSLA).- A decoupled YOLOv5 with deformable convolution and multi-scale attention.- OTE: An Optimized Chinese Short Text Matching Algorithm based on External Knowledge.- KIR: A Knowledge-enhanced Interpretable Recommendation Method.- ICKEM: a tool for estimating one's understanding of conceptual knowledge.- Cross-perspective Graph Contrastive Learning.- A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction.- Pre-train Unified Knowledge Graph Embedding with Ontology.- Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection.- A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks.- Construction Research and Applications of Industry Chain Knowledge Graphs.- Query and Neighbor-aware Reasoning based Multi-hop Question Answering over Knowledge Graph.- Question Answering over Knowledge Graphs with Query Path Generation.- Improving ParkingOccupancy Prediction in Poor Data Conditions through Customization and Learning to Learn.- Knowledge Concept Recommender Based on Structure Enhanced Interaction Graph Neural Network.- Answering Complex Questions on Knowledge Graphs.- Multi-Attention User Information Based Graph Convolutional Networks for Explainable Recommendation.- Edge-shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule.

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