[HTML][HTML] Utilizing domain knowledge in data-driven process discovery: A literature review
Process mining aims to improve operational processes in a data-driven manner. To this end,
process mining offers methods and techniques for systematically analyzing event data …
process mining offers methods and techniques for systematically analyzing event data …
Exogenous shocks and business process management: a scholars' perspective on challenges and opportunities
Business process management (BPM) drives corporate success through effective and
efficient processes. In recent decades, knowledge has been accumulated regarding the …
efficient processes. In recent decades, knowledge has been accumulated regarding the …
Process mining for healthcare: Characteristics and challenges
Process mining techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …
logged during their execution. These techniques are leveraged in a wide range of domains …
Process mining: a 360 degree overview
WMP van der Aalst - Process Mining Handbook, 2022 - Springer
Process mining enables organizations to uncover their actual processes, provide insights,
diagnose problems, and automatically trigger corrective actions. Process mining is an …
diagnose problems, and automatically trigger corrective actions. Process mining is an …
Creating business value with process mining
Abstract Information systems research has a long-standing interest in how organizations
gain value through information technology. In this article, we investigate a business process …
gain value through information technology. In this article, we investigate a business process …
Strategic business value from big data analytics: An empirical analysis of the mediating effects of value creation mechanisms
Big data are a prominent source of value capable of generating competitive advantage and
superior business performance. This paper represents the first empirical investigation of the …
superior business performance. This paper represents the first empirical investigation of the …
Process mining over multiple behavioral dimensions with event knowledge graphs
D Fahland - Process mining handbook, 2022 - Springer
Classical process mining relies on the notion of a unique case identifier, which is used to
partition event data into independent sequences of events. In this chapter, we study the …
partition event data into independent sequences of events. In this chapter, we study the …
[Retracted] Human Resource Demand Prediction and Configuration Model Based on Grey Wolf Optimization and Recurrent Neural Network
NK Rajagopal, M Saini, R Huerta-Soto… - Computational …, 2022 - Wiley Online Library
Business development is dependent on a well‐structured human resources (HR) system
that maximizes the efficiency of an organization's human resources input and output. It is …
that maximizes the efficiency of an organization's human resources input and output. It is …
Foundations of process discovery
WMP van der Aalst - Process Mining Handbook, 2022 - Springer
Process discovery is probably the most interesting, but also most challenging, process
mining task. The goal is to take an event log containing example behaviors and create a …
mining task. The goal is to take an event log containing example behaviors and create a …
How to phrase critical realist interview questions in applied social science research
A Brönnimann - Journal of Critical Realism, 2022 - Taylor & Francis
The tenets of critical and social realism are well supported in the literature. However,
researchers following a realist paradigm have concerns about the lack of methodical …
researchers following a realist paradigm have concerns about the lack of methodical …