000 | 03247nam a22004935i 4500 | ||
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001 | 978-1-4939-0392-4 | ||
003 | DE-He213 | ||
005 | 20200421111157.0 | ||
007 | cr nn 008mamaa | ||
008 | 140303s2014 xxu| s |||| 0|eng d | ||
020 |
_a9781493903924 _9978-1-4939-0392-4 |
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024 | 7 |
_a10.1007/978-1-4939-0392-4 _2doi |
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050 | 4 | _aQA76.9.D3 | |
072 | 7 |
_aUN _2bicssc |
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072 | 7 |
_aUMT _2bicssc |
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072 | 7 |
_aCOM021000 _2bisacsh |
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082 | 0 | 4 |
_a005.74 _223 |
100 | 1 |
_aPelekis, Nikos. _eauthor. |
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245 | 1 | 0 |
_aMobility Data Management and Exploration _h[electronic resource] / _cby Nikos Pelekis, Yannis Theodoridis. |
264 | 1 |
_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2014. |
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300 |
_aXV, 300 p. 157 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aPart I: Setting the Scene -- Introduction -- Background on spatial data management and exploration -- Part II: Mobility Data Management -- Modeling and acquiring mobility data -- Mobility database management -- Moving object database engines -- Part III -- Mobility Data Exploration -- Preparing for mobility data exploration -- Mobility data mining and knowledge discovery -- Privacy-aware mobility data exploration -- Part IV: Advanced Topics -- Semantic aspects on mobility data -- The case of big mobility data -- Part V: Epilogue-Hands-on -- Epilogue -- Hands-on with Hermes@OracleMOD -- Hands-on with Hermes@PostgresMOD. | |
520 | _aThis text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a unified presentation driven by the spectrum of requirements raised by real-world applications. It presents a step-by-step methodology to understand and exploit mobility data: collecting and cleansing data, storage in Moving Object Database (MOD) engines, indexing, processing, analyzing and mining mobility data. Emerging issues, such as semantic and privacy-aware querying and mining as well as distributed data processing, are also covered. Theoretical presentation is smoothly interchanged with hands-on exercises and case studies involving an actual MOD engine. The authors are established experts who address both theoretical and practical dimensions of the field but also present valuable prototype software. The background context, clear explanations and sample exercises make this an ideal textbook for graduate students studying database management, data mining and geographic information systems. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer security. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aData mining. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aSystems and Data Security. |
700 | 1 |
_aTheodoridis, Yannis. _eauthor. |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781493903917 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4939-0392-4 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c53567 _d53567 |