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000790011 019__ $$a991712356$$a992488948
000790011 020__ $$a9783319564272$$q(electronic book)
000790011 020__ $$a3319564277$$q(electronic book)
000790011 020__ $$z9783319564265
000790011 020__ $$z3319564269
000790011 035__ $$aSP(OCoLC)ocn990777950
000790011 035__ $$aSP(OCoLC)990777950$$z(OCoLC)991712356$$z(OCoLC)992488948
000790011 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dEBLCP$$dN$T$$dYDX$$dOCLCF$$dUAB
000790011 049__ $$aISEA
000790011 050_4 $$aHF5548.2
000790011 08204 $$a658.4/0380151135$$223
000790011 1001_ $$aFerreira, Diogo R.,$$eauthor.
000790011 24512 $$aA primer on process mining :$$bpractical skills with Python and Graphviz /$$cDiogo R. Ferreira.
000790011 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2017]
000790011 264_4 $$c©2017
000790011 300__ $$a1 online resource.
000790011 336__ $$atext$$btxt$$2rdacontent
000790011 337__ $$acomputer$$bc$$2rdamedia
000790011 338__ $$aonline resource$$bcr$$2rdacarrier
000790011 504__ $$aIncludes bibliographical references.
000790011 5050_ $$aPreface; Contents; 1 Event Logs; 1.1 Process Model vs. Process Instances; 1.2 Task Allocation; 1.3 Identifying the Process Instances; 1.4 Recording Events in an Event Log; 1.5 Event Logs in CSV Format; 1.6 Reading an Event Log with Python; 1.7 Sorting an Event Log with Python; 1.8 Reading the Event Log as a Dictionary; 1.9 Summary; 2 Control-Flow Perspective; 2.1 The Transition Matrix; 2.2 The Control-Flow Algorithm; 2.3 Implementation in Python; 2.4 Introducing Graphviz; 2.5 Using PyGraphviz; 2.6 Edge Thickness; 2.7 Activity Counts; 2.8 Node Coloring; 2.9 Summary
000790011 5058_ $$a3 Organizational Perspective3.1 Handover of Work; 3.2 Implementing Handover of Work; 3.3 Working Together; 3.4 Implementing Working Together; 3.5 Undirected Graphs; 3.6 Edge Thickness; 3.7 Users and Activities; 3.8 Work Distribution; 3.9 Summary; 4 Performance Perspective; 4.1 Dates and Times in Python; 4.2 Parsing the Timestamps; 4.3 Average Timestamp Difference; 4.4 Drawing the Graph; 4.5 Analyzing the Timeline of Events; 4.6 Plotting the Dotted Chart; 4.7 Using Relative Time; 4.8 Activity Duration; 4.9 Summary; 5 Process Mining in Practice; 5.1 The BPI Challenge 2012
000790011 5058_ $$a5.2 Understanding the XES Format5.3 Reading XES with Python; 5.4 Analyzing the Control-Flow Perspective; 5.5 Analyzing the Organizational Perspective; 5.6 Analyzing the Performance Perspective; 5.7 Process Mining with Disco; 5.8 Process Mining with ProM; 5.9 Conclusion; References
000790011 506__ $$aAccess limited to authorized users.
000790011 520__ $$a"The main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the behavior of real-world business processes. The end result can often be visualized as a graph, and the book explains how to use Python and Graphviz to render these graphs intuitively. Overall, it enables the reader to implement process mining techniques on his or her own, independently of any specific process mining tool. An introduction to two popular process mining tools, namely Disco and ProM, is also provided. The book will be especially valuable for self-study or as a precursor to a more advanced text. Practitioners and students will be able to follow along on their own, even if they have no prior knowledge of the topic."--$$cProvided by publisher.
000790011 588__ $$aOnline resource; title from PDF title page (viewed June 26, 2017).
000790011 650_0 $$aBusiness$$xData processing.
000790011 650_0 $$aPython (Computer program language)
000790011 650_0 $$aGraphic methods$$xData processing.
000790011 650_0 $$aComputer graphics.
000790011 77608 $$iPrint version:$$z9783319564265$$z3319564269$$w(OCoLC)975368111
000790011 852__ $$bebk
000790011 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-56427-2$$zOnline Access$$91397441.1
000790011 909CO $$ooai:library.usi.edu:790011$$pGLOBAL_SET
000790011 980__ $$aEBOOK
000790011 980__ $$aBIB
000790011 982__ $$aEbook
000790011 983__ $$aOnline
000790011 994__ $$a92$$bISE