Process Mining : Data Science in Action

This 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. Introduction -- Preliminaries -- From Event Logs To Process Models -- Beyond Process Discovery -- Putting Process Mining To Work -- Reflection -- Epilogue. By Wil Van Der Aalst. This is the second edition of Wil van der Aalstâ#x80;#x99;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 Front Matter....Pages I-XIX Front Matter....Pages 1-2 Data Science in Action....Pages 3-23 Process Mining: The Missing Link....Pages 25-52 Front Matter....Pages 53-54 Process Modeling and Analysis....Pages 55-88 Data Mining....Pages 89-121 Front Matter....Pages 123-124 Getting the Data....Pages 125-162 Process Discovery: An Introduction....Pages 163-194 Advanced Process Discovery Techniques....Pages 195-240 Front Matter....Pages 241-242 Conformance Checking....Pages 243-274 Mining Additional Perspectives....Pages 275-300 Operational Support....Pages 301-321 Front Matter....Pages 323-324 Process Mining Software....Pages 325-352 Process Mining in the Large....Pages 353-385 Analyzing “Lasagna Processes”....Pages 387-409 Analyzing “Spaghetti Processes”....Pages 411-427 Front Matter....Pages 429-430 Cartography and Navigation....Pages 431-445 Epilogue....Pages 447-452 Back Matter....Pages 453-467