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A Relational Data Warehouse for Multidimensional Process Mining · Study

WorkA Relational Data Warehouse for Multidimensional Process Mining

Thomas Vogelgesang2017

OA

Workgreen2017

A Relational Data Warehouse for Multidimensional Process Mining

Thomas Vogelgesang · H.-Jürgen Appelrath

8 citations·0/0 files stored·Lecture notes in business information processing

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Business Process Modeling and Analysis Advanced Database Systems and Queries Big Data and Business Intelligence

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References

2011Process Mining 2012Process Mining Manifesto 2007Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach 2009Data Warehouse Design: Modern Principles and Methodologies 2013Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining 2013Discovering Data-Aware Declarative Process Models from Event Logs 2013Automatic Discovery of Data-Centric and Artifact-Centric Processes

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2017A Framework for Interactive Multidimensional Process Miningother · 9 shared references 2016PMCube: A Data-Warehouse-Based Approach for Multidimensional Process Miningother · 7 shared references 2019Enabling efficient process mining on large data sets: realizing an in-database process mining operatorarticle · 6 shared references 2015Comparative Process Mining in Education: An Approach Based on Process Cubesother · 5 shared references 2017Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Educationother · 5 shared references 2015The Use of Process Mining in Business Process Simulation Model Constructionarticle · 4 shared references

Details

Year2017

Typeother

Published2017-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations8

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-319-53435-0_8

openalex_workW2395298664

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