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Intelligent Information Systems

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Cover of 'Intelligent Information Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Context-Aware Change Pattern Detection in Event Attributes of Recurring Activities
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    Chapter 2 Towards a UML Profile for Designing Smart IoT Data-Centric Applications
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    Chapter 3 An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems
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    Chapter 4 Towards Designing Energy-Aware Cybersecurity Policies
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    Chapter 5 A Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline
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    Chapter 6 Parsing Causal Models – An Instance Segmentation Approach
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    Chapter 7 Visualising Personal Data Flows: Insights from a Case Study of Booking.com
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    Chapter 8 Rsourcer: Scaling Feedback on Research Drafts
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    Chapter 9 Predictive Recommining: Learning Relations Between Event Log Characteristics and Machine Learning Approaches for Supporting Predictive Process Monitoring
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    Chapter 10 A Goal-Driven Approach to Support Decision-Making with Incomplete Information in Cyber Operations
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    Chapter 11 Integrating IoT-Driven Events into Business Processes
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    Chapter 12 Adaptive Task-Oriented Chatbots Using Feature-Based Knowledge Bases
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    Chapter 13 Cicero: An AI-Based Writing Assistant for Legal Users
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    Chapter 14 AIDA: A Tool for Resiliency in Smart Manufacturing
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    Chapter 15 Conceptual Formalization of Massive Storage for Advancing Decision-Making with Data Analytics
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    Chapter 16 Towards Leveraging Tests to Identify Impacts of Metamodel and Code Co-evolution
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    Chapter 17 Advancing IS Strategy for Natural History Museums with Method Engineering in the Digital Age
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    Chapter 18 The KYKLOS Tool for Modeling Changing Capabilities
Attention for Chapter 3: An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems
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Chapter title
An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems
Chapter number 3
Book title
Intelligent Information Systems
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-34674-3_3
Book ISBNs
978-3-03-134673-6, 978-3-03-134674-3
Authors

Scheibel, Beate, Rinderle-Ma, Stefanie

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 29%
Professor 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Professor > Associate Professor 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 4 57%
Engineering 2 29%
Unknown 1 14%