| 000 | 03283nam a22004935i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-01884-8 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163741.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2012 sz | s |||| 0|eng d | ||
| 020 |
_a9783031018848 _9978-3-031-01884-8 |
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| 024 | 7 |
_a10.1007/978-3-031-01884-8 _2doi |
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| 050 | 4 | _aTK5105.5-5105.9 | |
| 072 | 7 |
_aUKN _2bicssc |
|
| 072 | 7 |
_aCOM043000 _2bisacsh |
|
| 072 | 7 |
_aUKN _2thema |
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| 082 | 0 | 4 |
_a004.6 _223 |
| 100 | 1 |
_aMamoulis, Nikos. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980363 |
|
| 245 | 1 | 0 |
_aSpatial Data Management _h[electronic resource] / _cby Nikos Mamoulis. |
| 250 | _a1st ed. 2012. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2012. |
|
| 300 |
_aXV, 133 p. _bonline resource. |
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| 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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| 490 | 1 |
_aSynthesis Lectures on Data Management, _x2153-5426 |
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| 505 | 0 | _aIntroduction -- Spatial Data -- Indexing -- Spatial Query Evaluation -- Spatial Networks -- Applications of Spatial Data Management Technology. | |
| 520 | _aSpatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric extent. Many applications require the efficient management of spatial data, including Geographic Information Systems, Computer Aided Design, and Location Based Services. The goal of this book is to provide the reader with an overview of spatial data management technology, with an emphasis on indexing and search techniques. It first introduces spatial data models and queries and discusses the main issues of extending a database system to support spatial data. It presents indexing approaches for spatial data, with a focus on the R-tree. Query evaluation and optimization techniques for the most popular spatial query types (selections, nearest neighbor search, and spatial joins) are portrayed for data in Euclidean spaces and spatial networks. The book concludes by demonstrating the ample application of spatial data management technology on a wide range ofrelated application domains: management of spatio-temporal data and high-dimensional feature vectors, multi-criteria ranking, data mining and OLAP, privacy-preserving data publishing, and spatial keyword search. Table of Contents: Introduction / Spatial Data / Indexing / Spatial Query Evaluation / Spatial Networks / Applications of Spatial Data Management Technology. | ||
| 650 | 0 |
_aComputer networks . _931572 |
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| 650 | 0 |
_aData structures (Computer science). _98188 |
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| 650 | 0 |
_aInformation theory. _914256 |
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| 650 | 1 | 4 |
_aComputer Communication Networks. _980364 |
| 650 | 2 | 4 |
_aData Structures and Information Theory. _931923 |
| 710 | 2 |
_aSpringerLink (Online service) _980365 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031007569 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031030123 |
| 830 | 0 |
_aSynthesis Lectures on Data Management, _x2153-5426 _980366 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01884-8 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c84946 _d84946 |
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