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020 _a9783662498514
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050 4 _aHD62.17
_bV363 2016
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100 1 _avan der Aalst, Wil.
_9100315
_0Local
245 1 0 _aProcess Mining :
_bData Science in Action
_cby Wil van der Aalst
250 _a2nd ed.
260 _aBerlin, Heidelberg
_bSpringer Berlin Heidelberg
_c2016
300 _a1 recurso en línea (XIX, 467 páginas)
_b250 ilustraciones, 13 ilustraciones en color
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aIntroduction -- Preliminaries -- From Event Logs to Process Models -- Beyond Process Discovery -- Putting Process Mining to Work -- Reflection -- Epilogue.
520 3 _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.
710 2 _aSpringerLink (Online service)
_0Local
_9106996
942 _2lcc
_cLE
988 _aEBOOK, asignarmaterias , EBSPRINGER
650 7 _aTecnología de la información
_0comprobar BNE19930358882
_2embne
_9147832
650 7 _aNegocios
_0comprobar BNE19900966933
_2embne
_9138990
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-662-49851-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783662498514
907 _a.b12958086
_b10-10-17
_c21-11-16
998 _am
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