LEADER 03945nam 22006615 450 001 9910298963403321 005 20251113190459.0 010 $a3-662-48538-9 024 7 $a10.1007/978-3-662-48538-5 035 $a(CKB)3710000000627576 035 $a(SSID)ssj0001656825 035 $a(PQKBManifestationID)16440455 035 $a(PQKBTitleCode)TC0001656825 035 $a(PQKBWorkID)14985841 035 $a(PQKB)11733730 035 $a(DE-He213)978-3-662-48538-5 035 $a(MiAaPQ)EBC6310467 035 $a(MiAaPQ)EBC5579336 035 $a(Au-PeEL)EBL5579336 035 $a(OCoLC)1066194097 035 $a(PPN)192769804 035 $a(EXLCZ)993710000000627576 100 $a20160323d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aSpatial Data Mining $eTheory and Application /$fby Deren Li, Shuliang Wang, Deyi Li 205 $a1st ed. 2015. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2015. 215 $a1 online resource (XXVIII, 308 p. 103 illus., 81 illus. in color.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-662-48536-2 330 $a· This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ?the Belt and Road Initiatives?. p>. 606 $aData mining 606 $aGeographic information systems 606 $aArtificial intelligence 606 $aData Mining and Knowledge Discovery 606 $aGeographical Information System 606 $aArtificial Intelligence 615 0$aData mining. 615 0$aGeographic information systems. 615 0$aArtificial intelligence. 615 14$aData Mining and Knowledge Discovery. 615 24$aGeographical Information System. 615 24$aArtificial Intelligence. 676 $a006.312 700 $aLi$b Deren$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062706 702 $aWang$b Shuliang$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLi$b Deyi$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298963403321 996 $aSpatial Data Mining$92527902 997 $aUNINA