LEADER 05277nam 22009495 450 001 9910254981903321 005 20211129121514.0 010 $a9783662498507 010 $a3-662-49851-0 024 7 $a10.1007/978-3-662-49851-4 035 $a(CKB)3710000000649242 035 $a(EBL)4505537 035 $a(SSID)ssj0001665754 035 $a(PQKBManifestationID)16455047 035 $a(PQKBTitleCode)TC0001665754 035 $a(PQKBWorkID)15000584 035 $a(PQKB)10627128 035 $a(DE-He213)978-3-662-49851-4 035 $a(MiAaPQ)EBC4505537 035 $a(PPN)193442310 035 $a(EXLCZ)993710000000649242 100 $a20160415d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProcess mining $edata science in action /$fby Wil M. P. van der Aalst 205 $a2nd edition. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2016. 215 $a477 pages 300 $aDescription based upon print version of record. 311 0 $a3-662-49850-2 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Preliminaries -- From Event Logs to Process Models -- Beyond Process Discovery -- Putting Process Mining to Work -- Reflection -- Epilogue. 330 $aThis is the second edition of Wil van der Aalst?s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers. 606 $aApplication software 606 $aInformation storage and retrieval 606 $aInformation technology 606 $aBusiness?Data processing 606 $aSoftware engineering 606 $aComputer logic 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aLogics and Meanings of Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/I1603X 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 606 $aFouille de données$9fre$2ECLAS 606 $aMémorisation des données$9fre$2ECLAS 606 $aAnalyse des données$9fre$2ECLAS 606 $aTraitement des données$9fre$2ECLAS 606 $aopen data$9eng$2EUROVOC 606 $adata science$9eng$2EUROVOC 606 $atext and data mining$9eng$2EUROVOC 606 $aInformation storage and retrieval$9eng$2EUROVOC 615 0$aApplication software. 615 0$aInformation storage and retrieval. 615 0$aInformation technology. 615 0$aBusiness?Data processing. 615 0$aSoftware engineering. 615 0$aComputer logic. 615 14$aInformation Systems Applications (incl. Internet). 615 24$aInformation Storage and Retrieval. 615 24$aIT in Business. 615 24$aSoftware Engineering. 615 24$aLogics and Meanings of Programs. 615 24$aComputer Appl. in Administrative Data Processing. 615 7$aFouille de données 615 7$aMémorisation des données 615 7$aAnalyse des données 615 7$aTraitement des données 615 7$aopen data 615 7$adata science 615 7$atext and data mining 615 7$aInformation storage and retrieval 676 $a004 700 $avan der Aalst$b Wil M. P$4aut$4http://id.loc.gov/vocabulary/relators/aut$0980125 906 $aBOOK 912 $a9910254981903321 996 $aProcess Mining$92235687 997 $aUNINA