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000754853 020__ $$a9783662498514$$q(electronic book)
000754853 020__ $$a3662498510$$q(electronic book)
000754853 020__ $$z9783662498507
000754853 0247_ $$a10.1007/978-3-662-49851-4$$2doi
000754853 035__ $$aSP(OCoLC)ocn946935914
000754853 035__ $$aSP(OCoLC)946935914
000754853 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dN$T$$dAZU$$dEBLCP$$dYDXCP$$dCOO
000754853 049__ $$aISEA
000754853 050_4 $$aQA76.9.D343
000754853 08204 $$a006.3/12$$223
000754853 1001_ $$aAalst, Wil van der,$$eauthor.
000754853 24510 $$aProcess mining$$h[electronic resource] :$$bdata science in action /$$cWil van der Aalst.
000754853 250__ $$aSecond edition.
000754853 264_1 $$aHeidelberg :$$bSpringer,$$c2016.
000754853 300__ $$a1 online resource (xix, 467 pages)
000754853 336__ $$atext$$btxt$$2rdacontent
000754853 337__ $$acomputer$$bc$$2rdamedia
000754853 338__ $$aonline resource$$bcr$$2rdacarrier
000754853 504__ $$aIncludes bibliographical references and index.
000754853 5050_ $$aIntroduction -- Preliminaries -- From Event Logs to Process Models -- Beyond Process Discovery -- Putting Process Mining to Work -- Reflection -- Epilogue.
000754853 506__ $$aAccess limited to authorized users.
000754853 520__ $$aThis is the second edition of Wil van der Aalst's seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.
000754853 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 19, 2016).
000754853 650_0 $$aData mining.
000754853 650_0 $$aBusiness intelligence.
000754853 650_0 $$aWorkflow$$xManagement.
000754853 650_0 $$aManagement$$xData processing.
000754853 77608 $$iPrint version:$$z9783662498507
000754853 852__ $$bebk
000754853 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-49851-4$$zOnline Access$$91397441.1
000754853 909CO $$ooai:library.usi.edu:754853$$pGLOBAL_SET
000754853 980__ $$aEBOOK
000754853 980__ $$aBIB
000754853 982__ $$aEbook
000754853 983__ $$aOnline
000754853 994__ $$a92$$bISE