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Spatial Data and Intelligence (Record no. 59564)

MARC details
000 -LEADER
fixed length control field 05864nam a22006495i 4500
001 - CONTROL NUMBER
control field 978-981-97-2966-1
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030112023.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240430s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819729661
-- 978-981-97-2966-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-97-2966-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.76.A65
072 #7 - SUBJECT CATEGORY CODE
Subject category code UB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM005000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UX
Source thema
245 10 - TITLE STATEMENT
Title Spatial Data and Intelligence
Medium [electronic resource] :
Remainder of title 5th China Conference, SpatialDI 2024, Nanjing, China, April 25–27, 2024, Proceedings /
Statement of responsibility, etc. edited by Xiaofeng Meng, Xueying Zhang, Danhuai Guo, Di Hu, Bolong Zheng, Chunju Zhang.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 358 p. 151 illus., 136 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 14619
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note -- 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 ## - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 60157
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Evaluation.
9 (RLIN) 67895
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 65568
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 65689
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 67896
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 65570
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Meng, Xiaofeng.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 76158
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, Xueying.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 76159
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Guo, Danhuai.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 76160
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hu, Di.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 76161
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zheng, Bolong.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 76162
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, Chunju.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 76163
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819729654
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819729678
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume number/sequential designation 14619
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-97-2966-1">https://doi.org/10.1007/978-981-97-2966-1</a>
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