Verfügbarkeit: Process Mining Techniques in Business Environments

Process Mining Techniques in Business Environments: Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining

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Bibliographische Detailangaben
Beteilige Person:	Burattin, Andrea (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 2015
Schriftenreihe:	Lecture Notes in Business Information Processing 207
Schlagwörter:	Prozessmanagement Data Mining Informatik Mustererkennung Hochschulschrift
Links:	https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 https://doi.org/10.1007/978-3-319-17482-2 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028025430&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=028025430&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online-Ressource (XII, 220 p.) Ill.
ISBN:	9783319174822
ISSN:	1865-1348
DOI:	10.1007/978-3-319-17482-2

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Datensatz im Suchindex

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adam_text	PROCESS MINING TECHNIQUES IN BUSINESS ENVIRONMENTS / BURATTIN, ANDREA : 2015 ABSTRACT / INHALTSTEXT AFTER A BRIEF PRESENTATION OF THE STATE OF THE ART OF PROCESS-MINING TECHNIQUES, ANDREA BURRATIN PROPOSES DIFFERENT SCENARIOS FOR THE DEPLOYMENT OF PROCESS-MINING PROJECTS, AND IN PARTICULAR A CHARACTERIZATION OF COMPANIES IN TERMS OF THEIR PROCESS AWARENESS. THE APPROACHES PROPOSED IN THIS BOOK BELONG TO TWO DIFFERENT COMPUTATIONAL PARADIGMS: FIRST TO CLASSIC "BATCH PROCESS MINING," AND SECOND TO MORE RECENT "ONLINE PROCESS MINING." THE BOOK ENCOMPASSES A REVISED VERSION OF THE AUTHOR'S PHD THESIS, WHICH WON THE "BEST PROCESS MINING DISSERTATION AWARD" IN 2014, AWARDED BY THE IEEE TASK FORCE ON PROCESS MINING DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. PROCESS MINING TECHNIQUES IN BUSINESS ENVIRONMENTS / BURATTIN, ANDREA : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS 1 INTRODUCTION PART I: STATE OF THE ART: BPM, DATA MINING AND PROCESS MINING 2 INTRODUCTION TO BUSINESS PROCESSES, BPM, AND BPM SYSTEMS 3 DATA GENERATED BY INFORMATION SYSTEMS (AND HOW TO GET IT) 4 DATA MINING FOR INFORMATION SYSTEM DATA 5 PROCESS MINING 6 QUALITY CRITERIA IN PROCESS MINING 7 EVENT STREAMS PART II: OBSTACLES TO PROCESS MINING IN PRACTICE 8 OBSTACLES TO APPLYING PROCESS MINING IN PRACTICE 9 LONG-TERM VIEW SCENARIO PART III: PROCESS MINING AS AN EMERGING TECHNOLOGY 10 DATA PREPARATION 11 HEURISTICS MINER FOR TIME INTERVAL 12 AUTOMATIC CONFIGURATION OF MINING ALGORITHM 13 USER-GUIDED DISCOVERY OF PROCESS MODELS 14 EXTENSIONS OF BUSINESS PROCESSES WITH ORGANIZATIONAL ROLES 15 RESULTS INTERPRETATION AND EVALUATION 16 HANDS-ON: OBTAINING TEST DATA PART IV: A NEW CHALLENGE IN PROCESS MINING 17 PROCESS MINING FOR STREAM DATA SOURCES PART V: CONCLUSIONS AND FUTURE WORK 18 CONCLUSIONS AND FUTURE WORK DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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open_access_boolean
owner	DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-M347 DE-573 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-634 DE-860 DE-706 DE-861 DE-739
owner_facet	DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-M347 DE-573 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-634 DE-860 DE-706 DE-861 DE-739
physical	1 Online-Ressource (XII, 220 p.) Ill.
psigel	ZDB-2-SCS ZDB-2-SCS_2015
publishDate	2015
publishDateSearch	2015
publishDateSort	2015
publisher	Springer International Publishing
record_format	marc
series	Lecture Notes in Business Information Processing
series2	Lecture Notes in Business Information Processing
spelling	Burattin, Andrea Verfasser (DE-588)1072105640 aut Process Mining Techniques in Business Environments Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining by Andrea Burattin Cham Springer International Publishing 2015 1 Online-Ressource (XII, 220 p.) Ill. txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Business Information Processing 207 1865-1348 Prozessmanagement (DE-588)4353072-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Informatik (DE-588)4026894-9 s Data Mining (DE-588)4428654-5 s Prozessmanagement (DE-588)4353072-2 s Mustererkennung (DE-588)4040936-3 s DE-604 Erscheint auch als Druckausgabe 978-3-319-17481-5 Lecture Notes in Business Information Processing 207 (DE-604)BV041143711 207 https://doi.org/10.1007/978-3-319-17482-2 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028025430&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Abstract Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028025430&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Burattin, Andrea Process Mining Techniques in Business Environments Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining Lecture Notes in Business Information Processing Prozessmanagement (DE-588)4353072-2 gnd Data Mining (DE-588)4428654-5 gnd Informatik (DE-588)4026894-9 gnd Mustererkennung (DE-588)4040936-3 gnd
subject_GND	(DE-588)4353072-2 (DE-588)4428654-5 (DE-588)4026894-9 (DE-588)4040936-3 (DE-588)4113937-9
title	Process Mining Techniques in Business Environments Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining
title_auth	Process Mining Techniques in Business Environments Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining
title_exact_search	Process Mining Techniques in Business Environments Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining
title_full	Process Mining Techniques in Business Environments Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining by Andrea Burattin
title_fullStr	Process Mining Techniques in Business Environments Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining by Andrea Burattin
title_full_unstemmed	Process Mining Techniques in Business Environments Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining by Andrea Burattin
title_short	Process Mining Techniques in Business Environments
title_sort	process mining techniques in business environments theoretical aspects algorithms techniques and open challenges in process mining
title_sub	Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining
topic	Prozessmanagement (DE-588)4353072-2 gnd Data Mining (DE-588)4428654-5 gnd Informatik (DE-588)4026894-9 gnd Mustererkennung (DE-588)4040936-3 gnd
topic_facet	Prozessmanagement Data Mining Informatik Mustererkennung Hochschulschrift
url	https://doi.org/10.1007/978-3-319-17482-2 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028025430&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=028025430&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV041143711
work_keys_str_mv	AT burattinandrea processminingtechniquesinbusinessenvironmentstheoreticalaspectsalgorithmstechniquesandopenchallengesinprocessmining

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