TY  - BOOK
AU  - Meng,Xiaofeng
AU  - Zhang,Xueying
AU  - Guo,Danhuai
AU  - Hu,Di
AU  - Zheng,Bolong
AU  - Zhang,Chunju
ED  - SpringerLink (Online service)
TI  - Spatial Data and Intelligence: 5th China Conference, SpatialDI 2024, Nanjing, China, April 25-27, 2024, Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9789819729661
AV  - QA76.76.A65 
U1  - 005.3 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Application software
KW  - Computer networks 
KW  - Electronic digital computers
KW  - Evaluation
KW  - Computer systems
KW  - Information storage and retrieval systems
KW  - Computer and Information Systems Applications
KW  - Computer Communication Networks
KW  - System Performance and Evaluation
KW  - Computer System Implementation
KW  - Information Storage and Retrieval
N1  -  -- Spatiotemporal Data Analysis.  -- Multi-view Contrastive Clustering with Clustering Guidance and Adaptive Auto-en-coders.  -- Cloud-Edge Collaborative Continual Adaptation for ITS Object Detection.  -- Understanding Spatial Dependency among Spatial Interactions.  -- An Improved DBSCAN Clustering Method for AIS Trajectories Incorporating DP Compression and Discrete Fréchet Distance.  -- Structure and Semantic Contrastive Learning for Nodes Clustering in Heterogeneous Information Networks.  -- Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid.  -- Applying Segment Anything Model to Ground-Based Video Surveillance for Identify-ing Aquatic Plant.  -- Spatiotemporal Data Mining.  -- Mining Regional High Utility Co-location Pattern.  -- Local Co-location Pattern Mining Based on Regional Embedding.  -- RCPM_RLM: A Regional Co-location Pattern Mining Method Based on Representa-tion Learning Model.  -- Construction of a Large-Scale Maritime Elements Semantic Schema Based on Hetero-geneous Graph Models.  -- OCGATL: One-Class Graph Attention Networks with Transformation Learning for Anomaly Detection For Argo Data.  -- RGCNdist2vec: Using Graph Convolutional Networks and Distance2Vector to Esti-mate Shortest Path Distance along Road Networks.  -- Self-supervised Graph Neural Network based Community Search over Heterogeneous Information Networks.  -- Measurement and Research on the Conflict between Residential Space and Tourism Space in Pianyan Ancient Township.  -- Spatiotemporal Data Prediction.  -- Spatio-Temporal Sequence Prediction Of Diversion Tunnel Based On Machine Learn-ing Multivariate Data Fusion.  -- DyAdapTransformer: Dynamic Adaptive Spatial-Temporal Graph Transformer for Traffic Prediction.  -- Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model.  -- Remote Sensing Data Classification.  -- MADB-RemdNet for Few-Shot Learning in Remote Sensing Classification.  -- Convolutional Neural Network Based on Multiple Attention Mechanisms for Hyper-spectral and LiDAR Classification.  -- Few-shot Learning Remote Scene Classification Based On DC-2DEC.  -- Applications of Spatiotemporal Data Mining.  -- Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced by Au-tonomous Vehicles.  -- Trajectory Data Semi-fragile Watermarking Algorithm Considering Spatiotemporal Features.  -- HPO-LGBM-DRI: Dynamic Recognition Interval Estimation for Imbalanced Fraud Call via HPO-LGBM.  -- A Review on Urban Modelling for Future Smart Cities
N2  - This book constitutes the refereed post proceedings of the 5th China Conference on Spatial Data and Intelligence, SpatialDI 2024, held in Nanjing, China, during April 25-27, 2024. The 25 full papers included in this book were carefully reviewed and selected from 95 submissions. They were organized in topical sections as follows: Spatiotemporal Data Analysis, Spatiotemporal Data Mining, Spatiotemporal Data Prediction, Remote Sensing Data Classification and Applications of Spatiotemporal Data Mining
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-2966-1
ER  -