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001 978-3-662-49851-4
003 DE-He213
005 20200421111201.0
007 cr nn 008mamaa
008 160415s2016 gw | s |||| 0|eng d
020 _a9783662498514
_9978-3-662-49851-4
024 7 _a10.1007/978-3-662-49851-4
_2doi
050 4 _aQA76.76.A65
072 7 _aUNH
_2bicssc
072 7 _aUDBD
_2bicssc
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
100 1 _avan der Aalst, Wil.
_eauthor.
245 1 0 _aProcess Mining
_h[electronic resource] :
_bData Science in Action /
_cby Wil van der Aalst.
250 _a2nd ed. 2016.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2016.
300 _aXIX, 467 p. 250 illus., 13 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Preliminaries -- From Event Logs to Process Models -- Beyond Process Discovery -- Putting Process Mining to Work -- Reflection -- Epilogue.
520 _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.
650 0 _aComputer science.
650 0 _aInformation technology.
650 0 _aBusiness
_xData processing.
650 0 _aSoftware engineering.
650 0 _aComputer logic.
650 0 _aInformation storage and retrieval.
650 0 _aApplication software.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aIT in Business.
650 2 4 _aSoftware Engineering.
650 2 4 _aLogics and Meanings of Programs.
650 2 4 _aComputer Appl. in Administrative Data Processing.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783662498507
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-662-49851-4
912 _aZDB-2-SCS
942 _cEBK
999 _c53830
_d53830