LEADER 03756nam 22007215 450 001 9910299253803321 005 20230909072233.0 010 $a3-662-46436-5 024 7 $a10.1007/978-3-662-46436-6 035 $a(CKB)3710000000360441 035 $a(SSID)ssj0001451986 035 $a(PQKBManifestationID)11952132 035 $a(PQKBTitleCode)TC0001451986 035 $a(PQKBWorkID)11487012 035 $a(PQKB)10889763 035 $a(DE-He213)978-3-662-46436-6 035 $a(MiAaPQ)EBC6285243 035 $a(MiAaPQ)EBC5586156 035 $a(Au-PeEL)EBL5586156 035 $a(OCoLC)904125204 035 $a(PPN)184498848 035 $a(EXLCZ)993710000000360441 100 $a20150221d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aData-Driven Process Discovery and Analysis $eThird IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2013, Riva del Garda, Italy, August 30, 2013, Revised Selected Papers /$fedited by Paolo Ceravolo, Rafael Accorsi, Philippe Cudre-Mauroux 205 $a1st ed. 2015. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2015. 215 $a1 online resource (IX, 135 p. 56 illus.) 225 1 $aLecture Notes in Business Information Processing,$x1865-1356 ;$v203 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-46435-7 327 $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. 330 $aThis book constitutes the thoroughly refereed proceedings of the Third International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Garda, Italy, in August 2013. The six revised full papers were carefully selected from 18 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. The selected papers cover theoretical issues related to process representation, discovery and analysis or provide practical and operational experiences in process discovery and analysis. 410 0$aLecture Notes in Business Information Processing,$x1865-1356 ;$v203 606 $aData mining 606 $aInformation technology$xManagement 606 $aApplication software 606 $aData Mining and Knowledge Discovery 606 $aBusiness Process Management 606 $aComputer and Information Systems Applications 606 $aComputer Application in Administrative Data Processing 615 0$aData mining. 615 0$aInformation technology$xManagement. 615 0$aApplication software. 615 14$aData Mining and Knowledge Discovery. 615 24$aBusiness Process Management. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Application in Administrative Data Processing. 676 $a006.3 702 $aCeravolo$b Paolo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAccorsi$b Rafael$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCudre-Mauroux$b Philippe$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299253803321 996 $aData-Driven Process Discovery and Analysis$91961600 997 $aUNINA