Incremental process discovery

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: RWTH Aachen University, Dissertation, 2024

Keyword: Prozessmanagement
Data Mining
Wissensextraktion
Prozessmodell
Inkrementelles Umformen

Event: Veröffentlichung

(where): Aachen

(who): Universitätsbibliothek der RWTH Aachen

(when): 2024

Creator: Schuster, Daniel

Contributor: Aalst, Wil van der
Dongen, Joost T. van

DOI: 10.18154/RWTH-2024-06483

URN: urn:nbn:de:101:1-2407280135318.948530980072

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:53 PM CET

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Schuster, Daniel
Aalst, Wil van der
Dongen, Joost T. van
Universitätsbibliothek der RWTH Aachen

Time of origin

2024

Other Objects (12)

Foundations of Process Discovery

Process mining : discovery, conformance and enhancement of business processes

Creating Translucent Event Logs to Improve Process Discovery

Analyzing Healthcare Processes with Incremental Process Discovery : Practical Insights from a Real-World Application

Feature Recommendation for Structural Equation Model Discovery in Process Mining

Feature recommendation for structural equation model discovery in process mining

Using Free-Choice Nets for Process Mining and Business Process Management

Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications

Process Mining : A 360 Degree Overview

Six Levels of Autonomous Process Execution Management (APEM)

Aufsatzsammlung

Business process management : models, techniques, and empirical studies

Process mining and monitoring processes and services : workshop report

Foundations of Process Discovery

Process mining : discovery, conformance and enhancement of business processes

Creating Translucent Event Logs to Improve Process Discovery

Analyzing Healthcare Processes with Incremental Process Discovery : Practical Insights from a Real-World Application

Feature Recommendation for Structural Equation Model Discovery in Process Mining

Feature recommendation for structural equation model discovery in process mining

Using Free-Choice Nets for Process Mining and Business Process Management

Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications

Process Mining : A 360 Degree Overview

Six Levels of Autonomous Process Execution Management (APEM)

Aufsatzsammlung

Business process management : models, techniques, and empirical studies

Process mining and monitoring processes and services : workshop report

Foundations of Process Discovery

Process mining : discovery, conformance and enhancement of business processes

Creating Translucent Event Logs to Improve Process Discovery

Analyzing Healthcare Processes with Incremental Process Discovery : Practical Insights from a Real-World Application

Feature Recommendation for Structural Equation Model Discovery in Process Mining

Feature recommendation for structural equation model discovery in process mining

Using Free-Choice Nets for Process Mining and Business Process Management

Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications

Process Mining : A 360 Degree Overview

Six Levels of Autonomous Process Execution Management (APEM)

Aufsatzsammlung

Business process management : models, techniques, and empirical studies

Process mining and monitoring processes and services : workshop report

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Incremental process discovery

Object Details

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

Foundations of Process Discovery

Process mining : discovery, conformance and enhancement of business processes

Creating Translucent Event Logs to Improve Process Discovery

Analyzing Healthcare Processes with Incremental Process Discovery : Practical Insights from a Real-World Application

Feature Recommendation for Structural Equation Model Discovery in Process Mining

Feature recommendation for structural equation model discovery in process mining

Using Free-Choice Nets for Process Mining and Business Process Management

Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications

Process Mining : A 360 Degree Overview

Six Levels of Autonomous Process Execution Management (APEM)

Business process management : models, techniques, and empirical studies

Process mining and monitoring processes and services : workshop report

Foundations of Process Discovery

Process mining : discovery, conformance and enhancement of business processes

Creating Translucent Event Logs to Improve Process Discovery

Analyzing Healthcare Processes with Incremental Process Discovery : Practical Insights from a Real-World Application

Feature Recommendation for Structural Equation Model Discovery in Process Mining

Feature recommendation for structural equation model discovery in process mining

Using Free-Choice Nets for Process Mining and Business Process Management

Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications

Process Mining : A 360 Degree Overview

Six Levels of Autonomous Process Execution Management (APEM)

Business process management : models, techniques, and empirical studies

Process mining and monitoring processes and services : workshop report

Foundations of Process Discovery

Process mining : discovery, conformance and enhancement of business processes

Creating Translucent Event Logs to Improve Process Discovery

Analyzing Healthcare Processes with Incremental Process Discovery : Practical Insights from a Real-World Application

Feature Recommendation for Structural Equation Model Discovery in Process Mining

Feature recommendation for structural equation model discovery in process mining

Using Free-Choice Nets for Process Mining and Business Process Management

Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications

Process Mining : A 360 Degree Overview

Six Levels of Autonomous Process Execution Management (APEM)

Business process management : models, techniques, and empirical studies

Process mining and monitoring processes and services : workshop report

Related objects

Reset password