000 | 03485nam a22005655i 4500 | ||
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001 | 978-3-642-45269-7 | ||
003 | DE-He213 | ||
005 | 20240730200334.0 | ||
007 | cr nn 008mamaa | ||
008 | 131120s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642452697 _9978-3-642-45269-7 |
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024 | 7 |
_a10.1007/978-3-642-45269-7 _2doi |
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050 | 4 | _aQA76.9.D3 | |
072 | 7 |
_aUN _2bicssc |
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072 | 7 |
_aCOM021000 _2bisacsh |
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_aUN _2thema |
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_a005.74 _223 |
245 | 1 | 0 |
_aTransactions on Large-Scale Data- and Knowledge-Centered Systems XI _h[electronic resource] : _bSpecial Issue on Advanced Data Stream Management and Continuous Query Processing / _cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Bernd Amann, Philippe Lamarre. |
250 | _a1st ed. 2013. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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300 |
_aX, 127 p. 37 illus. _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 |
_aTransactions on Large-Scale Data- and Knowledge-Centered Systems, _x2510-4942 ; _v8290 |
|
505 | 0 | _aASSIST: Access Controlled Ship Identification Streams -- The HIT Model: Workflow-Aware Event Stream Monitoring -- P-Bench: Benchmarking in Data-Centric Pervasive Application Development -- Efficient Mining of Lag Patterns in Evolving Time Series -- On the Power of the Adversary to Solve the Node Sampling Problem. | |
520 | _aThis, the 11th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five selected papers focusing on Advanced Data Stream Management and Processing of Continuous Queries. The contributions cover different methods for avoiding unauthorized access to streaming data, modeling complex real-time behavior of stream processing applications, comparing different event-centric and data-centric platforms for the development of applications in pervasive environments, capturing localized repeated associative relationships from multiple time series, and obtaining uniform and fresh sampling strategies over input data streams generated by large open systems containing malicious participants. | ||
650 | 0 |
_aDatabase management. _93157 |
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650 | 0 |
_aData mining. _93907 |
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650 | 1 | 4 |
_aDatabase Management. _93157 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _9162921 |
700 | 1 |
_aHameurlain, Abdelkader. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9162922 |
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700 | 1 |
_aKüng, Josef. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9162923 |
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700 | 1 |
_aWagner, Roland. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9162924 |
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700 | 1 |
_aAmann, Bernd. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9162925 |
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700 | 1 |
_aLamarre, Philippe. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9162926 |
|
710 | 2 |
_aSpringerLink (Online service) _9162927 |
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773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783642452680 |
776 | 0 | 8 |
_iPrinted edition: _z9783642452703 |
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_aTransactions on Large-Scale Data- and Knowledge-Centered Systems, _x2510-4942 ; _v8290 _9162928 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-642-45269-7 |
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