A Survey on the Application of Process Mining to Smart Spaces Data

Bertrand, Yannis; Abbeele, Bram Van den; Veneruso, Silvestro; Leotta, Francesco; Mecella, Massimo; Serral, Estefanía

doi:10.1007/978-3-031-27815-0_5

Cited by 7 publications

(2 citation statements)

References 31 publications

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“…Several techniques can be used to collect personal information such as non-participant observations, screen recordings, and timesheet techniques, each with their own advantages and disadvantages [40]. Regardless of the technique used, collected personal information can be seen as an event log, which can be analyzed using process mining techniques to discover personal work processes [41].…”

Section: Personal Productivity Analysis In Work Processesmentioning

confidence: 99%

Tiramisù: Making Sense of Multi-Faceted Process Information Through Time and Space

Alman,

Arleo,

Beerepoot

et al. 2024

Preprint

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Knowledge-intensive processes represent a particularly challenging scenario for process mining. The flexibility that such processes allow constitutes a hurdle as they are hard to capture in a single model. To tackle this problem, multiple visual representations of the same processes could be beneficial, each addressing different information dimensions according to the specific needs and background knowledge of the concrete process workers and stakeholders. In this paper, we propose, describe, and evaluate a framework, named Tiramisù, that leverages visual analytics for the interactive visualization of multi-faceted process information, aimed at supporting the investigation and insight generation of users in their process analysis tasks. Tiramisù is based on a multi-layer visualization methodology that includes a visual backdrop that provides context and an arbitrary number of superimposed and on-demand dimension layers. This arrangement allows our framework to display process information from different perspectives and to project this information onto a domain-friendly representation of the context in which the process unfolds. We provide an in-depth description of the approach's founding principles, deeply rooted in visualization research, that justify our design choices for the whole framework. We demonstrate the feasibility of the framework through its application in two use-case scenarios in the context of healthcare and personal information management. Plus, we conducted qualitative evaluations with potential end users of both scenarios, gathering precious insights about the efficacy and applicability of our framework to various application domains.

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Section: Personal Productivity Analysis In Work Processesmentioning

confidence: 99%

Tiramisù: Making Sense of Multi-Faceted Process Information Through Time and Space

Alman,

Arleo,

Beerepoot

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Research articles [1] often start with an obvious statement or a with an unsupported, maybe even questionable claim, like [2][3][4][5][6]. Sometimes, reviewers are not rigor and wave that through.…”

Section: Introductionmentioning

confidence: 99%

Numbers, Facts and Methods, State-of-the-Art, Current Trends and Evaluation of Arguable Claims and Statements — A 2024 Overview

Ziemer

2023

Preprint

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In our discipline, some numbers, facts and methods are established and unquestionable. Still, a credible source is hard to find. Likewise, some state-of-the-art papers do not have the right focus, or they do not point at current research trends and future mission statements. Lastly, reliable resources for claims and statements that are arguable are not always found in the typical journals of our field. The paper at hand solves this issue for our field. Through critical review of a vast amount of journal papers, monographs, handbooks, conference proceedings and theses as well as manuals, textbooks and tutorials, numbers, facts, methods, claims statements, state-of-the-art, research and application trends are reflected and substantiated.

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A Methodology for the Analysis of Robotic Systems via Process Mining

Corradini,

Pettinari,

et al. 2023

Lecture Notes in Computer Science

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A Survey on the Application of Process Mining to Smart Spaces Data

Cited by 7 publications

References 31 publications

Tiramisù: Making Sense of Multi-Faceted Process Information Through Time and Space

Tiramisù: Making Sense of Multi-Faceted Process Information Through Time and Space

Numbers, Facts and Methods, State-of-the-Art, Current Trends and Evaluation of Arguable Claims and Statements — A 2024 Overview

A Methodology for the Analysis of Robotic Systems via Process Mining

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