LEADER 04144nam 22007455 450 001 9910299259703321 005 20200630090606.0 010 $a3-319-27243-8 024 7 $a10.1007/978-3-319-27243-6 035 $a(CKB)3710000000541790 035 $a(SSID)ssj0001597023 035 $a(PQKBManifestationID)16297044 035 $a(PQKBTitleCode)TC0001597023 035 $a(PQKBWorkID)14885348 035 $a(PQKB)11550246 035 $a(DE-He213)978-3-319-27243-6 035 $a(MiAaPQ)EBC6296134 035 $a(MiAaPQ)EBC5594611 035 $a(Au-PeEL)EBL5594611 035 $a(OCoLC)935141599 035 $a(PPN)190886226 035 $a(EXLCZ)993710000000541790 100 $a20151211d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aData-Driven Process Discovery and Analysis$b[electronic resource] $e4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers /$fedited by Paolo Ceravolo, Barbara Russo, Rafael Accorsi 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (IX, 123 p. 56 illus. in color.) 225 1 $aLecture Notes in Business Information Processing,$x1865-1348 ;$v237 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-27242-X 327 $aDiscovery of Frequent Episodes in Event Logs -- Finding Suitable Activity Clusters for Decomposed Process Discovery -- History-based Construction of Alignments for Conformance Checking: Formalization and Implementation? -- Dynamic Constructs Competition Miner - Occurrence vs. Time-based Ageing -- Trustworthy Cloud Certification: A Model-Based Approach. 330 $aThis book constitutes the thoroughly refereed proceedings of the Fourth International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Milan, Italy, in November 2014. The five revised full papers were carefully selected from 21 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. During this edition, the presentations and discussions frequently focused on the implementation of process mining algorithms in contexts where the analytical process is fed by data streams. The selected papers underline the most relevant challenges identified and propose novel solutions and approaches for their solution. 410 0$aLecture Notes in Business Information Processing,$x1865-1348 ;$v237 606 $aData mining 606 $aManagement information systems 606 $aIndustrial management 606 $aApplication software 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aBusiness Process Management$3https://scigraph.springernature.com/ontologies/product-market-codes/522020 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 615 0$aData mining. 615 0$aManagement information systems. 615 0$aIndustrial management. 615 0$aApplication software. 615 14$aData Mining and Knowledge Discovery. 615 24$aBusiness Process Management. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aComputer Appl. in Administrative Data Processing. 676 $a006.3 702 $aCeravolo$b Paolo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRusso$b Barbara$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAccorsi$b Rafael$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299259703321 996 $aData-Driven Process Discovery and Analysis$91961600 997 $aUNINA