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Main Authors:	Beheshti, Seyed-Mehdi-Reza (Author), Benatallah, Boualem 1966- (Author), Sakr, Sherif 1979- (Author), Grigori, Daniela (Author), Motahari-Nezhad, Hamid Reza (Author), Barukh, Moshe Chai (Author), Gater, Ahmed (Author), Ryu, Seung-Hwan (Author)
Format:	Book
Language:	English
Published:	[Cham] Springer [2016]
Series:	Computer science
Subjects:	Data Mining Prozessanalyse > Prozessmanagement Unternehmensverwaltung Informatik Prozessmanagement Datenbankverwaltung Betriebsanalyse Research UNF KJQ OLAP-Online Analytical Processing Query Processing UN BPM-Business Process Management Big Data JPP Process Monitoring Process Mining Process Analytics
Links:	http://www.springer.com/ http://deposit.dnb.de/cgi-bin/dokserv?id=d10c2438ea654feeb8fc485b0fe99bd1&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028817157&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Physical Description:	xvi, 178 Seiten Illustrationen 23.5 cm x 15.5 cm, 0 g
ISBN:	3319250361 9783319250366

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MARC


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Record in the Search Index

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adam_text	Contents 1 Introduction.......................................................... 1 1.1 The Modem Enterprises and the Need for Process Analytics......... 1 1.2 Business Processes: An Overview ................................. 3 1.2.1 Business Processes in Modem Enterprises................... 7 1.3 Process Analytics............................................... 11 1.3.1 Capturing Process Data................................... 11 1.3.2 Organizing Process Data.................................. 13 1.3.3 Process Space............................................ 14 1.3.4 Business Process Analytics............................... 15 1.4 Goals, Structure, and Organization.............................. 17 2 Business Process Paradigms........................................... 19 2.1 Introduction ................................................... 19 2.2 Dimensions for Characterizing Processes......................... 21 2.2.1 Process Paradigms........................................ 21 2.2.2 Process Representation Models/Languages.................. 23 2.2.3 Process Implementation Technologies...................... 23 2.3 Process Implementation Technologies............................. 24 2.3.1 Workflow Engines......................................... 24 2.3.2 Rule Engines............................................. 25 2.3.3 Program Coded............................................ 31 2.4 Process Paradigms: A Survey of Frameworks and Tools ............ 33 2.4.1 Structured Processes..................................... 33 2.4.2 Unstructured (Ad Hoc) Processes.......................... 48 2.4.3 Case-Management (Semi-structured) Processes.............. 56 2.5 Conclusions and Future Directions............................... 59 3 Process Matching Techniques ......................................... 61 3.1 Introduction ................................................... 61 3.1.1 Application Domains.................................... 62 3.1.2 Similarity Metrics Used When Comparing Process Models........................................... 64 XI Contents xii 3.2 Schema Matching............................................... 66 3.2.1 Individual Matcher Approaches........................... 67 3.2.2 Multi-matcher Matching Approaches....................... 67 3.3 Interface Matching............................................ 68 3.3.1 Matching Operations..................................... 69 3.3.2 Matching QoS Factors.................................... 71 3.4 Protocol Matching ............................................ 73 3.5 Process Matching.............................................. 76 3.5.1 Abstract Models for Process Model Descriptions.......... 78 3.5.2 Matching Process Activities............................. 80 3.5.3 Structural Matching..................................... 82 3.5.4 Behavioral Matching..................................... 85 3.6 Discussion and Concluding Remarks............................. 87 4 Model-Based Business Process Query Techniques and Languages....... 91 4.1 Querying Repositories of Business Process Models.............. 92 4.1.1 BPMN-Q.................................................. 93 4.1.2 BP-QL................................................... 96 4.1.3 BeehiveZ................................................ 97 4.1.4 APQL.................................................... 98 4.2 Querying Business Process Execution........................... 99 4.2.1 BP-Mon.................................................. 99 4.2.2 BP-SPARQL............................................. 101 4.3 Business Process Compliance.................................. 101 5 Business Process Data Analysis.................................... 107 5.1 Warehousing Business Process Data............................ 108 5.1.1 Data Services.......................................... 109 5.1.2 DataSpaces............................................. 110 5.2 Supporting Big Data Analytics over Process Execution Data... 113 5.2.1 Online Analytical Processing .......................... 115 5.2.2 Trend, What-If, and Advanced Analysis.................. 116 5.3 Business Data Analytics and Process Spaces................... 118 5.3.1 Process Space.......................................... 119 5.3.2 Logical Components of Process Spaces................... 121 5.3.3 Process Space Management System........................ 123 5.4 Process Mining............................................... 127 5.5 Analyzing Crosscutting Aspects in Processes’ Data............ 131 5.6 Provenance and Evolution of Business Artifacts............... 132 6 Tools, Use Cases, and Discussions................................. 135 6.1 Observations................................................. 135 6.2 Open-Source and Commercial Tools for Process Analytics....... 137 6.2.1 BPM in the Cloud....................................... 138 6.2.2 Business Process Analytics: Practical Use Case Scenario 142 Contents xiii 63 Discussion and Future Directions............................. 144 63.1 Big Data Analytics for Process Data.................... 144 63.2 Analyzing Big Process Data Problem..................... 146 633 Crowdsourcing and Social BPM.......................... 148 63.4 Process Data Management in the Cloud.................. 149 References......................................................... 151 Index................................................................ 177
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author	Beheshti, Seyed-Mehdi-Reza Benatallah, Boualem 1966- Sakr, Sherif 1979- Grigori, Daniela Motahari-Nezhad, Hamid Reza Barukh, Moshe Chai Gater, Ahmed Ryu, Seung-Hwan
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discipline	Informatik Wirtschaftswissenschaften
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physical	xvi, 178 Seiten Illustrationen 23.5 cm x 15.5 cm, 0 g
publishDate	2016
publishDateSearch	2016
publishDateSort	2016
publisher	Springer
record_format	marc
series2	Computer science
spellingShingle	Beheshti, Seyed-Mehdi-Reza Benatallah, Boualem 1966- Sakr, Sherif 1979- Grigori, Daniela Motahari-Nezhad, Hamid Reza Barukh, Moshe Chai Gater, Ahmed Ryu, Seung-Hwan Process analytics concepts and techniques for querying and analyzing process data Data Mining (DE-588)4428654-5 gnd Prozessanalyse Prozessmanagement (DE-588)4496282-4 gnd Unternehmensverwaltung (DE-588)4078619-5 gnd Informatik (DE-588)4026894-9 gnd Prozessmanagement (DE-588)4353072-2 gnd Datenbankverwaltung (DE-588)4389357-0 gnd Betriebsanalyse (DE-588)4006164-4 gnd
subject_GND	(DE-588)4428654-5 (DE-588)4496282-4 (DE-588)4078619-5 (DE-588)4026894-9 (DE-588)4353072-2 (DE-588)4389357-0 (DE-588)4006164-4
title	Process analytics concepts and techniques for querying and analyzing process data
title_auth	Process analytics concepts and techniques for querying and analyzing process data
title_exact_search	Process analytics concepts and techniques for querying and analyzing process data
title_full	Process analytics concepts and techniques for querying and analyzing process data Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu
title_fullStr	Process analytics concepts and techniques for querying and analyzing process data Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu
title_full_unstemmed	Process analytics concepts and techniques for querying and analyzing process data Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu
title_short	Process analytics
title_sort	process analytics concepts and techniques for querying and analyzing process data
title_sub	concepts and techniques for querying and analyzing process data
topic	Data Mining (DE-588)4428654-5 gnd Prozessanalyse Prozessmanagement (DE-588)4496282-4 gnd Unternehmensverwaltung (DE-588)4078619-5 gnd Informatik (DE-588)4026894-9 gnd Prozessmanagement (DE-588)4353072-2 gnd Datenbankverwaltung (DE-588)4389357-0 gnd Betriebsanalyse (DE-588)4006164-4 gnd
topic_facet	Data Mining Prozessanalyse Prozessmanagement Unternehmensverwaltung Informatik Prozessmanagement Datenbankverwaltung Betriebsanalyse
url	http://www.springer.com/ http://deposit.dnb.de/cgi-bin/dokserv?id=d10c2438ea654feeb8fc485b0fe99bd1&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028817157&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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