Knowledge science, engineering and management : 15th international conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings. Part I / Gerard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu (eds.).
Material type:
TextSeries: Lecture notes in computer science ; 13368. | Lecture notes in computer science. Lecture notes in artificial intelligence. | LNCS sublibrary. SL 7, Artificial intelligence.Publisher: Cham : Springer, [2022]Copyright date: ©2022Description: 1 online resource : illustrations (some color)Content type: - text
- computer
- online resource
- 9783031109836
- 303110983X
- 9788303110985
- 8303110985
- KSEM 2022
- Knowledge acquisition (Expert systems) -- Congresses
- Knowledge management -- Congresses
- Decision making -- Data processing -- Congresses
- Problem solving -- Data processing -- Congresses
- Information technology -- Congresses
- Data mining -- Congresses
- Gestion des connaissances -- Congrès
- Prise de décision -- Informatique -- Congrès
- Technologie de l'information -- Congrès
- Exploration de données (Informatique) -- Congrès
- Data mining
- Decision making -- Data processing
- Information technology
- Knowledge acquisition (Expert systems)
- Knowledge management
- Problem solving -- Data processing
- Adquisició del coneixement (Sistemes experts)
- Gestió del coneixement
- Presa de decisions
- Resolució de problemes
- Tecnologia de la informació
- Mineria de dades
- Processament de dades
- 006.3/31 23/eng/20220729
- QA76.76.E95
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
eBook
|
e-Library | eBook LNCS | Available |
International conference proceedings.
Includes author index.
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).
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 Parking Occupancy 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.
Online resource; title from PDF title page (SpringerLink, viewed July 29, 2022).