Enabling Process Management for Loosely Framed Knowledge-intensive Processes (Record no. 177888)

MARC details
000 -LEADER
fixed length control field 08002nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-030-66193-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125431.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 210123s2020 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030661939
-- 978-3-030-66193-9
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-66193-9
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD30.2
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM005030
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.4038
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mertens, Steven.
Relator term author.
Relator code aut
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245 10 - TITLE STATEMENT
Title Enabling Process Management for Loosely Framed Knowledge-intensive Processes
Medium [electronic resource] /
Statement of responsibility, etc by Steven Mertens.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 202 p. 51 illus., 21 illus. in color.
Other physical details online resource.
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-- online resource
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Business Information Processing,
International Standard Serial Number 1865-1356 ;
Volume number/sequential designation 409
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1 Introduction -- 1.1 Terminology and Research Context -- 1.2 Problem Statement -- 1.3 Research Objectives -- 1.4 Research Methodology -- 1.5 Dissertation Structure -- 2 Towards a Decision-aware Declarative Process Modeling Language for Knowledge-intensive Processes -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Research Methodology -- 2.4 Language Requirements -- 2.5 Designing the Perspectives -- 2.5.1 The arm fracture case -- 2.5.2 Declare as a foundation -- 2.5.3 Extending the functional and control-flow perspectives -- 2.5.4 Adding a notion of time-awareness to the constraint templates -- 2.5.5 Supporting the data perspective -- 2.5.6 Supporting the resource perspective -- 2.6 Integrating the Perspectives -- 2.6.1 Integrating the data perspective -- 2.6.2 Integrating the resource perspective -- 2.6.3 DeciClare -- 2.7 Evaluation -- 2.7.1 The evaluation set-up -- 2.7.2 Evaluating the perceived semantic quality -- 2.7.3 Evaluating the pragmatic quality -- 2.7.4 Evaluating the language-domain appropriateness -- 2.8 Positioning of DeciClare in the Research Domain -- 2.9 Conclusion -- 2.10 Limitations and Future Work -- 3 Discovering Loosely Framed Knowledge-intensive Processes using DeciClareMiner -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Modeling Healthcare Processes: DeciClare -- 3.4 Research Methodology -- 3.5 Discovering Healthcare Process Models: DeciClareMiner -- 3.5.1 Phase 1: Mining decision-independent rules -- 3.5.1.1 Leveraged property -- 3.5.1.2 The iteration principle: optimizations -- 3.5.1.3 The join criteria -- 3.5.1.4 The join step -- 3.5.1.5 Running example -- 3.5.1.6 The output of the first phase -- 3.5.2 Phase 2: Mining decision-dependent rules -- 3.5.2.1 Fitness Function -- 3.5.2.2 Optimization -- 3.5.2.3 Running example -- 3.5.2.4 The output after the second phase -- 3.6 Evaluation -- 3.6.1 Dataset -- 3.6.2 Benchmark creation -- 3.6.3 Results -- 3.6.4 Discussion -- 3.7 Limitations -- 3.8 Conclusions and Directions for Future Research -- 4 Integrated Declarative Process and Decision Discoveryof the Emergency Care Process -- 4.1 Introduction -- 4.2 Research Methodology -- 4.3 Discovering the Emergency Care Process with DeciClareMiner -- 4.3.1 Extraction -- 4.3.2 Data Preprocessing -- 4.3.3 Log Preparation -- 4.3.4 Mining a Process and Decision Model -- 4.3.5 Evaluation -- 4.4 Method Application: The Emergency Care Process -- 4.4.1 Extraction -- 4.4.2 Data Preprocessing -- 4.4.3 Log Preparation -- 4.4.4 Mining a Process and Decision Model -- 4.4.5 Evaluation -- 4.4.6 Discussion -- 4.5 Conclusion and Future Research -- 5 Operational Support for Loosely Framed Knowledge-intensive Processes -- 5.1 A Generic Framework for Flexible and Data-Aware Business Process Engines -- 5.1.1 Introduction -- 5.1.2 Research Methodology -- 5.1.3 Problem Statement and Solution Requirements -- 5.1.4 Data-Aware Declarative Process Enactment Framework -- 5.1.5 Demonstration -- 5.1.5.1 Process Definition: DeciClare -- 5.1.5.2 DeciClareEngine -- 5.1.5.3 Related Work -- 5.1.5.4 Conclusion and Future Research -- 5.2 Comparing Strategies to Generate Experience-based Clinical Process Recommendations that Leverage Similarity to Historic Data -- 5.2.1 Introduction -- 5.2.2 Related Work -- 5.2.3 Terminology and Formal Problem Definition -- 5.2.4 Research Methodology -- 5.2.5 Strategies -- 5.2.5.1 Pre-calculated similarity scorers -- 5.2.5.2 Positionless similarity scorers -- 5.2.5.3 Variable-position similarity scorers -- 5.2.5.4 Combinated scorers -- 5.2.6 Experiments -- 5.2.6.1 Experiment 1: comparing the general predictive power over different data sets -- 5.2.6.1.1 Experimental setup -- 5.2.6.1.2 Computational results -- 5.2.6.2 Experiment 2: the relation between predictive power and the size of H -- 5.2.6.2.1 Experimental setup -- 5.2.6.2.2 Computational results -- 5.2.7 Discussion -- 5.2.8 Conclusion and Future Research -- 6 Conclusion and Future Research -- 6.1 Research Results -- 6.2 Research Relevance and Implications -- 6.2.1 Implications for researchers -- 6.2.2 Implications for process stakeholders -- 6.2.3 Generalizability to other domains -- 6.3 Research Limitations and Future Research -- Appendix A: Arm fracture case description (based on literature) -- Appendix B: Original textual DeciClare model of arm fracture case -- Available resources -- Available activities -- Available data elements -- Resource constraints -- Control-flow constraints -- Appendix C: Semi-structured interview protocol (translated from Dutch) -- Appendix D: Final textual DeciClare model of arm fracture case -- Defined Elements -- Constraints -- Appendix E: The join step of DeciClareMiner (decision-independent) -- Appendix F: The DeciClare templates supported by DeciClareEngine -- References.
520 ## - SUMMARY, ETC.
Summary, etc This book is a revised version of the PhD dissertation written by the author at the Department of Business Informatics and Operations Management at Ghent University in Belgium. It addresses shortcomings in Business Process Management concerning loosely framed knowledge-intensive processes, which are characterized by their numerous valid process variants and their reliance on knowledge workers to apply their knowledge to decide on a suitable process variant that fits the context of a specific process execution. The goal was to lay the foundation for a process-aware business process management (IT-)system to support such processes. Several proof-of-concept implementations have been made for the core components and were evaluated in the domain of the healthcare. Starting from an artificial, but realistic, case about patients that arrive in the emergency room with suspected arm fractures and later progressing to a case study of the diagnosis and treatment of patients in the emergency department of a real hospital, using data from their patient files. In 2020, the PhD dissertation won the “CAiSE PhD award”, granted to outstanding PhD theses in the field of Information Systems Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information technology
General subdivision Management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medical informatics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business Process Management.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Application in Administrative Data Processing.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Health Informatics.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030661922
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030661946
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Business Information Processing,
-- 1865-1356 ;
Volume number/sequential designation 409
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-66193-9">https://doi.org/10.1007/978-3-030-66193-9</a>
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Koha item type eBooks-CSE-Springer

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