TY - BOOK ID - 56711384 TI - Process Mining AU - van der Aalst, Wil M. P AU - SpringerLink (Online service) PY - 2011 SN - 9783642193453 PB - Berlin, Heidelberg Springer Berlin Heidelberg DB - UniCat KW - Logic KW - Office management KW - Computer science KW - Information systems KW - Computer. Automation KW - ICT (informatie- en communicatietechnieken) KW - IR (information retrieval) KW - bedrijfseconomie KW - procesmanagement (economie) KW - informatica KW - ontwerpen KW - bedrijfsadministratie KW - programmeren (informatica) KW - informatiesystemen KW - software engineering KW - informatica management UR - https://www.unicat.be/uniCat?func=search&query=sysid:56711384 AB - More and more information about business processes is recorded by information systems in the form of so-called event logs . Despite the omnipresence of such data, most organizations diagnose problems based on fiction rather than facts. Process mining is an emerging discipline based on process model-driven approaches and data mining. It not only allows organizations to fully benefit from the information stored in their systems, but it can also be used to check the conformance of processes, detect bottlenecks, and predict execution problems. Wil van der Aalst delivers the first book on process mining. It aims to be self-contained while covering the entire process mining spectrum from process discovery to operational support. In Part I, the author provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Part II focuses on process discovery as the most important process mining task. Part III moves beyond discovering the control flow of processes and highlights conformance checking, and organizational and time perspectives. Part IV guides the reader in successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM. Finally, Part V 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. ER -