| 000 | 03632nam a22004575i 4500 | ||
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| 999 |
_c200434127 _d52339 |
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| 003 | DE-He213 | ||
| 005 | 20231104114313.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160323s2015 gw | s |||| 0|eng d | ||
| 020 |
_a9783662485385 _z978-3-662-48538-5 |
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| 024 | 7 |
_a10.1007/978-3-662-48538-5 _2doi |
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| 040 |
_aTR-AnTOB _beng _cTR-AnTOB _erda |
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| 050 | 4 | _aQA76.9.D343 | |
| 072 | 7 |
_aUNF _2bicssc |
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| 072 | 7 |
_aCOM021030 _2bisacsh |
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| 072 | 7 |
_aUNF _2thema |
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| 072 | 7 |
_aUYQE _2thema006.312 _223 |
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| 100 | 1 |
_aLi, Deren. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aSpatial Data Mining : _bTheory and Application / _cby Deren Li, Shuliang Wang, Deyi Li. |
| 250 | _a1st ed. 2015. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2015. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 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>. | ||
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 |
_aData Mining and Knowledge Discovery. _0http://scigraph.springernature.com/things/product-market-codes/I18030 |
| 650 | 2 | 4 |
_aRemote Sensing/Photogrammetry. _0http://scigraph.springernature.com/things/product-market-codes/J13010 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _0http://scigraph.springernature.com/things/product-market-codes/I21000 |
| 700 | 1 |
_aWang, Shuliang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 700 | 1 |
_aLi, Deyi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-662-48538-5 _3Springer eBooks _zOnline access link to the resource |
| 942 |
_2lcc _cEBK |
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| 041 | _aeng | ||