000 03159nam a22005535i 4500
001 978-3-662-46436-6
003 DE-He213
005 20200421112039.0
007 cr nn 008mamaa
008 150221s2015 gw | s |||| 0|eng d
020 _a9783662464366
_9978-3-662-46436-6
024 7 _a10.1007/978-3-662-46436-6
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
245 1 0 _aData-Driven Process Discovery and Analysis
_h[electronic resource] :
_bThird IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2013, Riva del Garda, Italy, August 30, 2013, Revised Selected Papers /
_cedited by Paolo Ceravolo, Rafael Accorsi, Philippe Cudre-Mauroux.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2015.
300 _aIX, 135 p. 56 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Business Information Processing,
_x1865-1348 ;
_v203
505 0 _aThe Effect of Noise on Mined Declarative Constraints -- Towards Collecting Sustainability Data in Supply Chains with Flexible Data Collection Processes -- Handling Environment for Publicly Posted Composite Documents -- Enabling Non-expert Users to Apply Data Mining for Bridging the Big Data Divide -- Combining Semantic Lifting and Ad-hoc Contextual Analysis in a Data Loss Scenario -- Comparative Process Mining in Education: An Approach Based on Process Cubes.
520 _aThis book constitutes the thoroughly refereed proceedings of the Third International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Garda, Italy, in August 2013. The six revised full papers were carefully selected from 18 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. The selected papers cover theoretical issues related to process representation, discovery and analysis or provide practical and operational experiences in process discovery and analysis.
650 0 _aComputer science.
650 0 _aManagement information systems.
650 0 _aIndustrial management.
650 0 _aData mining.
650 0 _aApplication software.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aBusiness Process Management.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aComputer Appl. in Administrative Data Processing.
700 1 _aCeravolo, Paolo.
_eeditor.
700 1 _aAccorsi, Rafael.
_eeditor.
700 1 _aCudre-Mauroux, Philippe.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783662464359
830 0 _aLecture Notes in Business Information Processing,
_x1865-1348 ;
_v203
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-662-46436-6
912 _aZDB-2-SCS
942 _cEBK
999 _c56553
_d56553