001467971 000__ 05177cam\\22007217i\4500
001467971 001__ 1467971
001467971 003__ OCoLC
001467971 005__ 20230707003348.0
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001467971 008__ 230517s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001467971 019__ $$a1379018872
001467971 020__ $$a9783031329104$$q(electronic bk.)
001467971 020__ $$a3031329104$$q(electronic bk.)
001467971 020__ $$z9783031329098
001467971 020__ $$z3031329090
001467971 0247_ $$a10.1007/978-3-031-32910-4$$2doi
001467971 035__ $$aSP(OCoLC)1379239082
001467971 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX
001467971 049__ $$aISEA
001467971 050_4 $$aG70.217.G46
001467971 08204 $$a910.285$$223/eng/20230517
001467971 1112_ $$aSpatialDI (Conference)$$n(4th :$$d2023 :$$cNanchang, China)
001467971 24510 $$aSpatial data and intelligence :$$b4th International Conference, SpatialDI 2023, Nanchang, China, April 13-15, 2023, Proceedings /$$cXiaofeng Meng, Xiang Li, Jianqiu Xu, Xueying Zhang, Yuming Fang, Bolong Zheng, Yafei Li, editors.
001467971 2463_ $$aSpatialDI 2023
001467971 264_1 $$aCham :$$bSpringer,$$c2023.
001467971 300__ $$a1 online resource (x, 272 pages) :$$billustrations (some color).
001467971 336__ $$atext$$btxt$$2rdacontent
001467971 337__ $$acomputer$$bc$$2rdamedia
001467971 338__ $$aonline resource$$bcr$$2rdacarrier
001467971 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13887
001467971 500__ $$aIncludes author index.
001467971 5050_ $$aTraffic Management -- APADGCN: Adaptive Partial Attention Diffusion Graph Convolutional Network for Traffic Flow Forecasting -- DeepParking: Deep Learning-based Planning Method for Autonomous Parking -- Recommendations for Urban Planning based on Non-motorized Travel Data and Street Comfort -- A Composite Grid Clustering Algorithm based on Density and Balance Degree -- Visualization Analysis -- Research on the Visualization Method of Weibo User Sentiment Analysis based on IP Affiliation and Comment Content -- Village Web 3D Visualization System based on Cesium -- Spatial Big Data Analysis -- Spatial-Aware Community Search over Heterogeneous Information Networks -- Ship Classification Based on Trajectories Data and LightGBM Considering Offshore Distance Feature -- CDGCN: An Effective and Efficient Algorithm based on Community Detection for Training Deep and Large Graph Convolutional Networks -- Investigate the Relationship between Traumatic Occurrences and Socio-economic Status based on Geographic Information System (GIS): The Case of Qingpu in Shanghai, China -- Contact Query Processing based on Spatiotemporal Trajectory -- Influential Community Search over Large Heterogeneous Information Networks -- Spatiotemporal Data Mining -- Fast Mining Prevalent Co-location Patterns over Dense Spatial Datasets -- Continuous Sub-prevalent Co-location Pattern Mining -- The Abnormal Detection Method of Ship Trajectory with Adaptive Transformer Model based on Migration Learning -- Spatiotemporal Data Storage -- A Comparative Study of Row and Column Storage for Time Series Data -- LOACR: A Cache Replacement Method Based on Loop Assist -- Metaverse -- Unifying Reality and Virtuality: Constructing a Cohesive Metaverse Using Complex Numbers.
001467971 506__ $$aAccess limited to authorized users.
001467971 520__ $$aThis book constitutes the refereed proceedings of the 4th International Conference on Spatial Data and Intelligence, SpatialDI 2023, held in Nanchang, China, in April 13–15, 2023. The 18 full papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: traffic management; visualization analysis; spatial big data analysis; spatiotemporal data mining; spatiotemporal data storage; and metaverse.
001467971 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 17, 2023).
001467971 650_0 $$aGeospatial data$$xComputer processing$$vCongresses.
001467971 650_0 $$aTraffic engineering$$xData processing$$vCongresses.
001467971 650_0 $$aCity planning$$xData processing$$vCongresses.
001467971 655_0 $$aElectronic books.
001467971 7001_ $$aMeng, Xiaofeng,$$d1964-$$eeditor.
001467971 7001_ $$aLi, Xiang$$c(Computer scientist),$$eeditor.
001467971 7001_ $$aXu, Jianqiu,$$eeditor.
001467971 7001_ $$aZhang, Xueying,$$eeditor.
001467971 7001_ $$aFang, Yuming,$$eeditor.
001467971 7001_ $$aZheng, Bolong,$$eeditor.
001467971 7001_ $$aLi, Yafei,$$eeditor.
001467971 77608 $$iPrint version: $$z3031329090$$z9783031329098$$w(OCoLC)1375545424
001467971 830_0 $$aLecture notes in computer science ;$$v13887.$$x1611-3349
001467971 852__ $$bebk
001467971 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-32910-4$$zOnline Access$$91397441.1
001467971 909CO $$ooai:library.usi.edu:1467971$$pGLOBAL_SET
001467971 980__ $$aBIB
001467971 980__ $$aEBOOK
001467971 982__ $$aEbook
001467971 983__ $$aOnline
001467971 994__ $$a92$$bISE