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What is Process Mining

Chapter 17
Handbook of Research on Complex Dynamic Process Management: Techniques for Adaptability in Turbulent Environments
Research area that aims at creating tools for discovering process, control, data, organizational and social structures from event logs.
Published in Chapter:
Semantic Business Process Mining of SAP Transactions
Jon Espen Ingvaldsen (Norwegian University of Science and Technology, Norway) and Jon Atle Gulla (Norwegian University of Science and Technology, Norway)
Copyright: © 2010 |Pages: 14
DOI: 10.4018/978-1-60566-669-3.ch017
Abstract
This chapter introduces semantic business process mining of SAP transaction logs. SAP systems are promising domains for semantic process mining as they contain transaction logs that are linked to large amounts of structured data. A challenge with process mining these transaction logs is that the core of SAP systems was not originally designed from the business process management perspective. The business process layer was added later without full rearrangement of the system. As a result, system logs produced by SAP are not process-based, but transaction-based. This means that the system does not produce traces of process instances that are needed for process mining. In this chapter, we show how data available in SAP systems can enrich process instance logs with ontologically structured concepts, and evaluate techniques for mapping executed transaction sequences with predefined process hierarchies.
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Chapter 12
Improving Objectivity in Project Risk Management
A data mining method to analyze event logs and discover patterns in business processes.
Published in Chapter: Improving Objectivity in Project Risk Management; From: Handbook of Research on Leveraging Risk and Uncertainties for Effective Project Management
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Chapter 21
Business Process Intelligence
Is the discovery of information based on event logs. Process discovery, conformance checking, critical factor analysis and prediction qualify as process mining techniques.
Published in Chapter: Business Process Intelligence; From: Handbook of Research on Business Process Modeling
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Chapter 22
Applied Sequence Clustering Techniques for Process Mining
Field of research that studies techniques to discover business process models automatically from recorded behavior.
Published in Chapter: Applied Sequence Clustering Techniques for Process Mining; From: Handbook of Research on Business Process Modeling
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Chapter 17
Applying Process Mining to the Emergency Department
Techniques, tools, and methods to discover, monitor and improve real processes (i.e., not assumed processes) by extracting knowledge from event logs commonly available in today's (information) systems.
Published in Chapter: Applying Process Mining to the Emergency Department; From: Encyclopedia of Business Analytics and Optimization
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Chapter 1
Mind the Gap: From Typical LMS Traces to Learning to Learn Journeys
Is a data science technique used to analyze and identify common process-based patterns, based on event logs.
Published in Chapter: Mind the Gap: From Typical LMS Traces to Learning to Learn Journeys; From: Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan
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Chapter 110
Increasing Visibility through Process Mining
Process mining is a technique employed to gain an understanding of a process by extracting data from event-logs to develop a process model.
Published in Chapter: Increasing Visibility through Process Mining; From: Encyclopedia of Business Analytics and Optimization
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Chapter 103
Learning Analytics for Smart Classrooms
Assist in the analysis of processes and converts data into ideas and actions.
Published in Chapter: Learning Analytics for Smart Classrooms; From: Encyclopedia of Data Science and Machine Learning
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