Process Mining: A 360 Degree Overview

Abstract

Process mining enables organizations to uncover their actual processes, provide insights, diagnose problems, and automatically trigger corrective actions. Process mining is an emerging scientific discipline positioned at the intersection between process science and data science. The combination of process modeling and analysis with the event data present in today’s information systems provides new means to tackle compliance and performance problems. This chapter provides an overview of the field of process mining introducing the different types of process mining (e.g., process discovery and conformance checking) and the basic ingredients, i.e., process models and event data. To prepare for later chapters, event logs are introduced in detail (including pointers to standards for event data such as XES and OCEL). Moreover, a brief overview of process mining applications and software is given.

Declarative Process Specifications: Reasoning, Discovery, Monitoring

“…This intuitively means that ChainResponse(a, b), albeit satisfied, it cannot be interestingly used to describe the behaviour encoded in the trace. We recall that with L(t) denotes the multiplicity of occurrences of t in the log L (see [1], Sect 3.1). The max term at the denominator of the formulation of confidence serves the purpose of avoiding a division by zero in case no trace satisfies ♦( k).…”

“…Throughout the chapter, we have considered pure control-flow specifications, where a process is captured solely in terms of its constitutive activities and of behavioural constraints separating legal from undesired executions. While the control-flow provides the main process backbone, other equally important perspectives should also be taken into account as suggested already in [1]:…”

“…The approach is still at its infancy: some first seminal works have been conducted to handle discovery of OCBC specifications from object-centric event logs recording full database transactions [55], and to formalize and reason upon OCBC specifications through temporal description logics [7]. Further research is being carried out to improve the performance of discovery and frame it in the context of object-centric event logs of the form of [1], and to tackle conformance checking and monitoring. This is particularly challenging, as integrating temporal constraints with data models quickly leads to undecidability [7].…”

Using Process Mining in Healthcare

“…While many of the papers that will be referenced below make important methodological contributions, the focus of the discussion in this section is mainly on how process mining techniques were applied in a particular healthcare context. To structure the outline, the six process mining types introduced in Chapter 1 [1] are used: process discovery (Sect. 3.1), conformance checking (Sect.…”

“…All of the aforementioned papers focus on the discovery of control-flow models. However, as highlighted in Chapter [1] process discovery can also relate to other perspectives of the process, such as the resource perspective. For instance, Alvarez et al [3] identify collaboration patterns between healthcare professionals within the emergency department of a hospital.…”