Verfügbarkeit: Process mining | Technische Universität München

Process mining: data science in action

The first to cover this missing link between data mining and process modeling, this book provides real-world techniques for monitoring and analyzing processes in real time. It is a powerful new tool destined to play a key role in business process management.

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Bibliographische Detailangaben
Beteilige Person:	Aalst, Wil van der 1966- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Berlin Springer [2016]
Ausgabe:	Second edition
Schlagwörter:	Information technology Business / Data processing Computer logic Information storage and retrieval Application software Computer Science Information Systems Applications (incl. Internet) Information Storage and Retrieval IT in Business Software Engineering Logics and Meanings of Programs Computer Appl. in Administrative Data Processing Datenverarbeitung Informatik Wirtschaft Big Data Betriebliches Informationssystem Prozessmanagement Data Mining Datenmanagement Daten Prozessmodell
Links:	https://ebookcentral.proquest.com/lib/th-brandenburg/detail.action?docID=4505537 https://doi.org/10.1007/978-3-662-49851-4 https://ebookcentral.proquest.com/lib/th-ab/detail.action?docID=4505537 https://ebookcentral.proquest.com/lib/othaw/detail.action?docID=4505537 https://ebookcentral.proquest.com/lib/othaw/detail.action?docID=4505537 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 http://hwr.ciando.com.ezproxy.hwr-berlin.de:2048/book/index.cfm?bok_id=2114012 https://doi.org/10.1007/978-3-662-49851-4 https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=4505537 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 https://doi.org/10.1007/978-3-662-49851-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028961336&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028961336&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Zusammenfassung:	The first to cover this missing link between data mining and process modeling, this book provides real-world techniques for monitoring and analyzing processes in real time. It is a powerful new tool destined to play a key role in business process management.
Umfang:	1 Online-Ressource (XIX, 467 Seiten) Illustrationen (teilweise farbig)
ISBN:	9783662498514
DOI:	10.1007/978-3-662-49851-4

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Datensatz im Suchindex

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adam_text	PROCESS MINING / VAN DER AALST, WIL : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION PRELIMINARIES FROM EVENT LOGS TO PROCESS MODELS BEYOND PROCESS DISCOVERY PUTTING PROCESS MINING TO WORK REFLECTION EPILOGUE DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. PROCESS MINING / VAN DER AALST, WIL : 2016 ABSTRACT / INHALTSTEXT THIS 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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id	DE-604.BV043545973
illustrated	Illustrated
indexdate	2024-12-20T17:39:09Z
institution	BVB
isbn	9783662498514
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-028961336
oclc_num	950708748
open_access_boolean
owner	DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-573 DE-M347 DE-703 DE-739 DE-634 DE-11 DE-91G DE-BY-TUM DE-2070s DE-83 DE-1043 DE-1046 DE-1047 DE-522 DE-91 DE-BY-TUM
owner_facet	DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-573 DE-M347 DE-703 DE-739 DE-634 DE-11 DE-91G DE-BY-TUM DE-2070s DE-83 DE-1043 DE-1046 DE-1047 DE-522 DE-91 DE-BY-TUM
physical	1 Online-Ressource (XIX, 467 Seiten) Illustrationen (teilweise farbig)
psigel	ZDB-30-PQE ZDB-2-SCS ZDB-22-CAN ZDB-4-NLEBK ZDB-2-SCS_2016 ZDB-30-PQE BFB_Kauf ZDB-2-SCS ZDB-2-SCS_2016 ZDB-30-PQE Einzelkauf ZDB-2-SCS TUM_Einzelkauf_2024 ZDB-30-PQE TUM_Einzelkauf
publishDate	2016
publishDateSearch	2016
publishDateSort	2016
publisher	Springer
record_format	marc
spellingShingle	Aalst, Wil van der 1966- Process mining data science in action Information technology Business / Data processing Computer logic Information storage and retrieval Application software Computer Science Information Systems Applications (incl. Internet) Information Storage and Retrieval IT in Business Software Engineering Logics and Meanings of Programs Computer Appl. in Administrative Data Processing Datenverarbeitung Informatik Wirtschaft Software Engineering (DE-588)4116521-4 gnd Big Data (DE-588)4802620-7 gnd Informatik (DE-588)4026894-9 gnd Betriebliches Informationssystem (DE-588)4069386-7 gnd Prozessmanagement (DE-588)4353072-2 gnd Data Mining (DE-588)4428654-5 gnd Datenmanagement (DE-588)4213132-7 gnd Daten (DE-588)4135391-2 gnd Prozessmodell (DE-588)4237203-3 gnd
subject_GND	(DE-588)4116521-4 (DE-588)4802620-7 (DE-588)4026894-9 (DE-588)4069386-7 (DE-588)4353072-2 (DE-588)4428654-5 (DE-588)4213132-7 (DE-588)4135391-2 (DE-588)4237203-3
title	Process mining data science in action
title_auth	Process mining data science in action
title_exact_search	Process mining data science in action
title_full	Process mining data science in action Wil van der Aalst
title_fullStr	Process mining data science in action Wil van der Aalst
title_full_unstemmed	Process mining data science in action Wil van der Aalst
title_short	Process mining
title_sort	process mining data science in action
title_sub	data science in action
topic	Information technology Business / Data processing Computer logic Information storage and retrieval Application software Computer Science Information Systems Applications (incl. Internet) Information Storage and Retrieval IT in Business Software Engineering Logics and Meanings of Programs Computer Appl. in Administrative Data Processing Datenverarbeitung Informatik Wirtschaft Software Engineering (DE-588)4116521-4 gnd Big Data (DE-588)4802620-7 gnd Informatik (DE-588)4026894-9 gnd Betriebliches Informationssystem (DE-588)4069386-7 gnd Prozessmanagement (DE-588)4353072-2 gnd Data Mining (DE-588)4428654-5 gnd Datenmanagement (DE-588)4213132-7 gnd Daten (DE-588)4135391-2 gnd Prozessmodell (DE-588)4237203-3 gnd
topic_facet	Information technology Business / Data processing Computer logic Information storage and retrieval Application software Computer Science Information Systems Applications (incl. Internet) Information Storage and Retrieval IT in Business Software Engineering Logics and Meanings of Programs Computer Appl. in Administrative Data Processing Datenverarbeitung Informatik Wirtschaft Big Data Betriebliches Informationssystem Prozessmanagement Data Mining Datenmanagement Daten Prozessmodell
url	https://doi.org/10.1007/978-3-662-49851-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028961336&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028961336&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT aalstwilvander processminingdatascienceinaction

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