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245 1 0 _aSpatial Data and Intelligence
_h[electronic resource] :
_b5th China Conference, SpatialDI 2024, Nanjing, China, April 25-27, 2024, Proceedings /
_cedited by Xiaofeng Meng, Xueying Zhang, Danhuai Guo, Di Hu, Bolong Zheng, Chunju Zhang.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXIII, 358 p. 151 illus., 136 illus. in color.
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
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505 0 _a -- 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.
520 _aThis 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.
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