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Knowledge Discovery in Spatial Data
This book deals with knowledge discovery and data mining in spatial and temporal data, seeking to present novel methods that can be employed to discover spatial structures and processes in complex data. Spatial knowledge discovery is examined through the tasks of clustering, classification, associat...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Advances in Spatial Science, The Regional Science Series,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 100 | 1 | |a Leung, Yee. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Knowledge Discovery in Spatial Data |h [electronic resource] / |c by Yee Leung. |
| 250 | |a 1st ed. 2009. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2009. | |
| 300 | |a XXIX, 360 p. 113 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Advances in Spatial Science, The Regional Science Series, |x 2197-9375 | |
| 505 | 0 | |a Discovery of Intrinsic Clustering in Spatial Data -- Statistical Approach to the Identification of Separation Surface for Spatial Data -- Algorithmic Approach to the Identification of Classification Rules or Separation Surface for Spatial Data -- Discovery of Spatial Relationships in Spatial Data -- Discovery of Structures and Processes in Temporal Data -- Summary and Outlooks. | |
| 520 | |a This book deals with knowledge discovery and data mining in spatial and temporal data, seeking to present novel methods that can be employed to discover spatial structures and processes in complex data. Spatial knowledge discovery is examined through the tasks of clustering, classification, association/relationship, and process. Among the covered topics are discovery of spatial structures as natural clusters, identification of separation surfaces and extraction of classification rules from statistical and algorithmic perspectives, detecting local and global aspects of non-stationarity of spatial associations and relationships, unraveling scaling behaviors of time series data, including self-similarity, and long range dependence. Particular emphasis is placed on the treatment of scale, noise, imperfection and mixture distribution. Numerical examples and a wide scope of applications are used throughout the book to substantiate the conceptual and theoretical arguments. | ||
| 650 | 0 | |a Ethnology. | |
| 650 | 0 | |a Culture. | |
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Regional economics. | |
| 650 | 0 | |a Spatial economics. | |
| 650 | 0 | |a Geography. | |
| 650 | 1 | 4 | |a Regional Cultural Studies. |
| 650 | 2 | 4 | |a Statistics. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Regional and Spatial Economics. |
| 650 | 2 | 4 | |a Geography. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642026652 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642261701 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642026638 |
| 830 | 0 | |a Advances in Spatial Science, The Regional Science Series, |x 2197-9375 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-642-02664-5 |z Texto Completo |
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| 950 | |a Humanities, Social Sciences and Law (SpringerNature-11648) | ||
| 950 | |a Literature, Cultural and Media Studies (R0) (SpringerNature-43723) | ||