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Spatial data mining [electronic resource] : theory and application

Spatial data mining [electronic resource] : theory and application

자료유형
E-Book(소장)
개인저자
李德仁, 1939-. 王树良, 1974-. 李德毅, 1944-.
서명 / 저자사항
Spatial data mining [electronic resource] : theory and application / Deren Li, Shuliang Wang, Deyi Li.
발행사항
Berlin;   Heidelberg :   Springer Berlin Heidelberg :   Imprint: Springer,   2015.  
형태사항
1 online resource (xxviii, 308 p.) : ill. (some col.).
기타표제
Kong jian shu ju wa jue li lun yu ying yong
ISBN
9783662485385
요약
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’
일반주기
Title from e-Book title page.  
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Geographic information systems. Geospatial data. Spatial data infrastructures. Data mining. Spatial analysis (Statistics).
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005 20200811102700
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008 200728s2015 gw a ob 000 0 eng d
020 ▼a 9783662485385
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041 1 ▼a eng ▼h chi
050 0 0 ▼a G70.217.G46
082 0 4 ▼a 006.312 ▼2 23
084 ▼a 006.312 ▼2 DDCK
090 ▼a 006.312
100 1 ▼a 李德仁, ▼d 1939-.
240 1 0 ▼a 空间数据挖掘理论与应用. ▼l English
245 1 0 ▼a Spatial data mining ▼h [electronic resource] : ▼b theory and application / ▼c Deren Li, Shuliang Wang, Deyi Li.
246 1 ▼a Kong jian shu ju wa jue li lun yu ying yong
260 ▼a Berlin; ▼a Heidelberg : ▼b Springer Berlin Heidelberg : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (xxviii, 308 p.) : ▼b ill. (some col.).
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
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’
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Geographic information systems.
650 0 ▼a Geospatial data.
650 0 ▼a Spatial data infrastructures.
650 0 ▼a Data mining.
650 0 ▼a Spatial analysis (Statistics).
700 1 ▼a 王树良, ▼d 1974-.
700 1 ▼a 李德毅, ▼d 1944-.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-662-48538-5
900 1 0 ▼a Li, Deren.
900 1 0 ▼a Wang, Shuliang.
900 1 0 ▼a Li, Deyi.
900 1 0 ▼a 李德仁.
900 1 0 ▼a 李德毅.
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.312 등록번호 E14029469 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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