Data-Driven Process Discovery and Analysis

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Cover of 'Data-Driven Process Discovery and Analysis'

Table of Contents

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Book Overview
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Chapter 1 A Framework for Safety-Critical Process Management in Engineering Projects
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Chapter 2 Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education
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Chapter 3 Detecting Changes in Process Behavior Using Comparative Case Clustering
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Chapter 4 Using Domain Knowledge to Enhance Process Mining Results
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Chapter 5 Aligning Process Model Terminology with Hypernym Relations
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Chapter 6 Time Series Petri Net Models
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Chapter 7 Visual Analytics Meets Process Mining: Challenges and Opportunities
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Chapter 8 A Relational Data Warehouse for Multidimensional Process Mining

Attention for Chapter 8: A Relational Data Warehouse for Multidimensional Process Mining

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Thomas Vogelgesang, H.-Jürgen Appelrath. A Relational Data Warehouse for Multidimensional Process Mining. Paolo Ceravolo; Stefanie Rinderle-Ma. 5th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Dec 2015, Vienna, Austria.

HAL Archives-Ouvertes, 29 Nov 2017

Thomas Vogelgesang, H.-Jürgen Appelrath. A Relational Data Warehouse for Multidimensional Process Mining.

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