000			03520cam a22005415i 4500
001			21820329
003			OSt
005			20210216143225.0
006			m |o d |
007			cr |||||||||||
008			160415s2016 gw |||| o |||| 0|eng
010			_a 2019766042
020			_a9783662570418 (Pbk)
024	7		_a10.1007/978-3-662-49851-4 _2doi
035			_a(DE-He213)978-3-662-49851-4
040			_aDLC _beng _epn _erda _cIISERB
072		7	_aCOM032000 _2bisacsh
072		7	_aUDBD _2thema
072		7	_aUNH _2bicssc
072		7	_aUNH _2thema
082	0	4	_a006.312 Aa4P2 _223
100	1		_aAalst, Wil van der _926756
222			_aEECS-reference book collection
245	1	0	_aProcess mining : _bData science in action _cby Wil M. P. van der Aalst.
250			_a2nd ed.
260			_aBerlin: _bSpinger-Verlag, _c2016.
300			_aXIX, 467 pages 250 illustrations, 13 illustrations in color.
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	_aApplication software. _926757
650		0	_aBusiness _xData processing. _926758
650		0	_aComputer logic. _926759
650		0	_aInformation storage and retrieval. _926760
650		0	_aInformation technology. _926761
650		0	_aSoftware engineering. _926762
650	1	4	_aInformation Systems Applications (incl. Internet). _926763
650	2	4	_aComputer Appl. in Administrative Data Processing. _926764
650	2	4	_aInformation Storage and Retrieval. _926765
650	2	4	_aIT in Business. _926766
650	2	4	_aLogics and Meanings of Programs. _926767
650	2	4	_aSoftware Engineering. _926768
776	0	8	_iPrint version: _tProcess mining : data science in action _z9783662498507 _w(DLC) 2016938641
776	0	8	_iPrinted edition: _z9783662498507
776	0	8	_iPrinted edition: _z9783662498521
776	0	8	_iPrinted edition: _z9783662570418
906			_a0 _bibc _corigres _du _encip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c9394 _d9394