Event Logs Pre-processing for Configurable Process Discovery: Ontology-Based Approach

Khannat, Aicha; Sbai, Hanae; Kjiri, Laïla

doi:10.1109/cist49399.2021.9357303

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…It will be helpful during configuration, validation, and enhancement of configurable processes that are extracted from event logs. Khannat et al., 35 present a new framework for event logs preprocessing using ontologies. The aim is to enrich a collection of event logs concepts of ontologies as a first step towards discovering a semantically enriched configurable process.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Various approaches so, have introduced semantics to derive knowledge of process execution traces.Since event logs are usually combined with semantics and domain ontologies for semantically enriched configurable process discovery.It will be helpful during configuration, validation, and enhancement of configurable processes that are extracted from event logs. Khannat et al,35 present a new framework for event logs preprocessing using ontologies. The aim is to enrich a collection of event logs concepts of ontologies as a first step towards discovering a semantically enriched configurable process.…”

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confidence: 99%

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Uncertainty measurement of a configurable business process

Saidi

Tissaoui

Benslimane

et al. 2022

Systems Engineering

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Today, the economic crisis is putting enormous pressure on most organizations. It evolves in a crucial competitive environment with a multiplication of production cycles and implementation on the market. Due to this dynamism, organizations must be scalable and agile by adopting an approach that aims to make the process model of a given organization reusable. Indeed, according to the new paradigm which is called “Design by reuse” the models of configurable processes, gain recently in importance since these models have the capacity to represent explicitly the common parts and variables of identical processes in a customizable model. These configurable process which group several execution choices through a variation point called configurable connector will present an uncertainty related to the execution (or not) of the conditional tasks in a process model. In this paper, we propose a measure based on Shannon's entropy in order to model the uncertainty of the process at design time to guide configurable business process designers and analysts in developing and improving processes to be more predictable, less complex, and more understandable.

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Section: Background and Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

Uncertainty measurement of a configurable business process

Saidi

Tissaoui

Benslimane

et al. 2022

Systems Engineering

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“…Knerbouche et al also suggested a qualitative model to assess the quality of an event log [10]. Khannat et al enriched event logs with domain ontologies to gain more understanding of the process data and to aid the preprocessing of event logs [11].…”

Section: Introductionmentioning

confidence: 99%

Event Log Data Quality Issues and Solutions

et al. 2023

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Process mining is a discipline that analyzes real event data extracted from information systems that support a business process to construct as-is process models and detect performance issues. Process event data are transformed into event logs, where the level of data quality directly impacts the reliability, validity, and usefulness of the derived process insights. The literature offers a taxonomy of preprocessing techniques and papers reporting on solutions for data quality issues in particular scenarios without exploring the relationship between the data quality issues and solutions. This research aims to discover how process mining researchers and practitioners solve certain data quality issues in practice and investigates the nature of the relationship between data quality issues and preprocessing techniques. Therefore, a study was undertaken among prominent process mining researchers and practitioners, gathering information regarding the perceived importance and frequency of data quality issues and solutions and the participants’ recommendations on preprocessing technique selection. The results reveal the most important and frequent data quality issues and preprocessing techniques and the gap between their perceived frequency and importance. Consequently, an overview of how researchers and practitioners solve data quality issues is presented, allowing the development of recommendations.

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RCPM: A Rule-Based Configurable Process Mining Method

Feng

Huang³

et al. 2023

Communications in Computer and Information Science

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Event Logs Pre-processing for Configurable Process Discovery: Ontology-Based Approach

Cited by 3 publications

References 21 publications

Uncertainty measurement of a configurable business process

Uncertainty measurement of a configurable business process

Event Log Data Quality Issues and Solutions

RCPM: A Rule-Based Configurable Process Mining Method

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