LEADER 03479nam 22005775 450 001 9910377819603321 005 20200703165205.0 010 $a3-030-41819-7 024 7 $a10.1007/978-3-030-41819-9 035 $a(CKB)4100000010480340 035 $a(MiAaPQ)EBC6126698 035 $a(DE-He213)978-3-030-41819-9 035 $a(PPN)242980120 035 $a(EXLCZ)994100000010480340 100 $a20200227d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA Primer on Process Mining $ePractical Skills with Python and Graphviz /$fby Diogo R. Ferreira 205 $a2nd ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (x, 96 pages) $cillustrations 225 1 $aSpringerBriefs in Information Systems,$x2192-4929 311 $a3-030-41818-9 320 $aIncludes bibliographical references. 327 $aEvent Logs -- Control-Flow Perspective -- Organizational Perspective -- Performance Perspective -- Process Mining in Practice. 330 $aThe main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the behavior of real-world business processes. The end result can often be visualized as a graph, and the book explains how to use Python and Graphviz to render these graphs intuitively. Overall, it enables the reader to implement process mining techniques on his or her own, independently of any specific process mining tool. An introduction to two popular process mining tools, namely Disco and ProM, is also provided. In this second edition the code snippets have been updated to Python 3, and some smaller errors have been corrected. The book will be especially valuable for self-study or as a precursor to a more advanced text. Practitioners and students will be able to follow along on their own, even if they have no prior knowledge of the topic. After reading this book, they will be able to more confidently proceed to the research literature if needed. 410 0$aSpringerBriefs in Information Systems,$x2192-4929 606 $aManagement information systems 606 $aIndustrial management 606 $aApplication software 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$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 615 0$aManagement information systems. 615 0$aIndustrial management. 615 0$aApplication software. 615 14$aBusiness Process Management. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aComputer Appl. in Administrative Data Processing. 676 $a658.054 700 $aFerreira$b Diogo R$4aut$4http://id.loc.gov/vocabulary/relators/aut$0941418 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910377819603321 996 $aA Primer on Process Mining$92123450 997 $aUNINA