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Process mining techniques and applications–A systematic map** study
Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …
and to help capture the more significant findings during real execution rather than, those …
[HTML][HTML] Event log preprocessing for process mining: a review
Process Mining allows organizations to obtain actual business process models from event
logs (discovery), to compare the event log or the resulting process model in the discovery …
logs (discovery), to compare the event log or the resulting process model in the discovery …
[HTML][HTML] Machine learning in business process management: A systematic literature review
Abstract Machine learning (ML) provides algorithms to create computer programs based on
data without explicitly programming them. In business process management (BPM), ML …
data without explicitly programming them. In business process management (BPM), ML …
A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs
Process mining can be viewed as the missing link between model-based process analysis
and data-oriented analysis techniques. Lion׳ s share of process mining research has been …
and data-oriented analysis techniques. Lion׳ s share of process mining research has been …
[کتاب][B] Analytics in a big data world: The essential guide to data science and its applications
B Baesens - 2014 - books.google.com
The guide to targeting and leveraging business opportunities using big data & analytics By
leveraging big data & analytics, businesses create the potential to better understand …
leveraging big data & analytics, businesses create the potential to better understand …
act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes
In process mining, the challenge is typically to turn raw event data into meaningful models,
insights, or actions. One of the key problems of a data-driven analysis of processes, is the …
insights, or actions. One of the key problems of a data-driven analysis of processes, is the …
Conformance checking and diagnosis in process mining
J Munoz-Gama - 2014 - Springer
This book encompasses a revised version of the PhD dissertation of Jorge Munoz-Gama
written at the Computer Science Department of the Universitat Politècnica de Catalunya …
written at the Computer Science Department of the Universitat Politècnica de Catalunya …
Bringing context inside process research with digital trace data
Context is usually conceptualized as “external” to a theory or model and treated as
something to be controlled or eliminated in empirical research. We depart from this tradition …
something to be controlled or eliminated in empirical research. We depart from this tradition …
A generic framework for trace clustering in process mining
The goal of process discovery is to visualize event log data as a process model. In reality,
however, these models are often highly complex. Process trace clustering is a well-studied …
however, these models are often highly complex. Process trace clustering is a well-studied …
What makes digital technology? A categorization based on purpose
MS Baier, S Berger, T Kreuzer… - … of the Association for …, 2023 - aisel.aisnet.org
Digital technology (DT) is creating and sha** today's world. Building on its identity and
history of technology research, the Information Systems discipline is at the forefront of …
history of technology research, the Information Systems discipline is at the forefront of …