000746225 000__ 03448cam\a2200457Ii\4500
000746225 001__ 746225
000746225 005__ 20230306141242.0
000746225 006__ m\\\\\o\\d\\\\\\\\
000746225 007__ cr\cn\nnnunnun
000746225 008__ 160330s2015\\\\gw\a\\\\ob\\\\000\0\eng\d
000746225 020__ $$a9783662485385$$qelectronic book
000746225 020__ $$a3662485389$$qelectronic book
000746225 020__ $$z9783662485361
000746225 0247_ $$a10.1007/978-3-662-48538-5$$2doi
000746225 035__ $$aSP(OCoLC)ocn945692559
000746225 035__ $$aSP(OCoLC)945692559
000746225 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dAZU$$dYDXCP
000746225 0411_ $$aeng$$hchi
000746225 049__ $$aISEA
000746225 050_4 $$aQA76.9.D343
000746225 08204 $$a006.3/12$$223
000746225 1001_ $$aLi, Deren,$$d1939-$$eauthor.
000746225 24510 $$aSpatial data mining$$h[electronic resource] :$$btheory and application /$$cDeren Li, Shuliang Wang, Deyi Li.
000746225 264_1 $$aBerlin :$$bSpringer,$$c2015.
000746225 300__ $$a1 online resource (xxviii, 308 pages) :$$billustrations.
000746225 336__ $$atext$$btxt$$2rdacontent
000746225 337__ $$acomputer$$bc$$2rdamedia
000746225 338__ $$aonline resource$$bcr$$2rdacarrier
000746225 500__ $$a"Translation from the Chinese language second edition by Deren Li, Shuliang Wang, Deyi Li, © Science Press 2013."
000746225 504__ $$aIncludes bibliographical references.
000746225 506__ $$aAccess limited to authorized users.
000746225 520__ $$a· This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project 'the Belt and Road Initiatives'. p>.
000746225 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 30, 2016).
000746225 650_0 $$aData mining.
000746225 650_0 $$aGeospatial data.
000746225 7001_ $$aWang, Shuliang,$$d1974-$$eauthor.
000746225 7001_ $$aLi, Deyi,$$d1944-$$eauthor.
000746225 85280 $$bebk$$hSpringerLink
000746225 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-48538-5$$zOnline Access$$91397441.1
000746225 909CO $$ooai:library.usi.edu:746225$$pGLOBAL_SET
000746225 980__ $$aEBOOK
000746225 980__ $$aBIB
000746225 982__ $$aEbook
000746225 983__ $$aOnline
000746225 994__ $$a92$$bISE