000 | 03109nam a22005295i 4500 | ||
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001 | 978-3-642-40919-6 | ||
003 | DE-He213 | ||
005 | 20200421111200.0 | ||
007 | cr nn 008mamaa | ||
008 | 130912s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642409196 _9978-3-642-40919-6 |
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024 | 7 |
_a10.1007/978-3-642-40919-6 _2doi |
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050 | 4 | _aQA76.76.A65 | |
072 | 7 |
_aUNH _2bicssc |
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072 | 7 |
_aUDBD _2bicssc |
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_aCOM032000 _2bisacsh |
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082 | 0 | 4 |
_a005.7 _223 |
245 | 1 | 0 |
_aData-Driven Process Discovery and Analysis _h[electronic resource] : _bSecond IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d'Italia, Italy, June 18-20, 2012, Revised Selected Papers / _cedited by Philippe Cudre-Mauroux, Paolo Ceravolo, Dragan Gašević. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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300 |
_aX, 113 p. 41 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 |
_aLecture Notes in Business Information Processing, _x1865-1348 ; _v162 |
|
505 | 0 | _aA Lightweight RDF Data Model for Business Process Analysis -- Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach -- Improving Business Process Models Using Observed Behavior -- Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital -- Towards Automatic Capturing of Semi-structured Process Provenance -- Managing Structural and Textual Quality of Business Process Models. | |
520 | _aThis book constitutes the thoroughly refereed proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June 2012. The six revised full papers were carefully selected from 17 submissions. To improve the quality of the contributions the symposium fostered the discussion during the presentation, giving authors the opportunity to improve their work extending the presented results. The selected papers cover topics spanning from theoretical issues related to process representation, discovery and analysis to practical and operational experiences in process discovery and analysis. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aInformation technology. | |
650 | 0 |
_aBusiness _xData processing. |
|
650 | 0 | _aData mining. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aInformation Systems Applications (incl. Internet). |
650 | 2 | 4 | _aIT in Business. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
700 | 1 |
_aCudre-Mauroux, Philippe. _eeditor. |
|
700 | 1 |
_aCeravolo, Paolo. _eeditor. |
|
700 | 1 |
_aGašević, Dragan. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642409189 |
830 | 0 |
_aLecture Notes in Business Information Processing, _x1865-1348 ; _v162 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-40919-6 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c53799 _d53799 |