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Journal ArticleDOI

Workflow mining: a survey of issues and approaches

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TLDR
This paper introduces the concept of workflow mining and presents a common format for workflow logs, and discusses the most challenging problems and present some of the workflow mining approaches available today.
Abstract
Many of today's information systems are driven by explicit process models. Workflow management systems, but also ERP, CRM, SCM, and B2B, are configured on the basis of a workflow model specifying the order in which tasks need to be executed. Creating a workflow design is a complicated time-consuming process and typically there are discrepancies between the actual workflow processes and the processes as perceived by the management. To support the design of workflows, we propose the use of workflow mining. Starting point for workflow mining is a so-called "workflow log" containing information about the workflow process as it is actually being executed. In this paper, we introduce the concept of workflow mining and present a common format for workflow logs. Then we discuss the most challenging problems and present some of the workflow mining approaches available today.

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Book ChapterDOI

Process mining for ubiquitous mobile systems: an overview and a concrete algorithm

TL;DR: The α-algorithm is a process mining algorithm whose application is not limited to ubiquitous and/or mobile systems, but it is unable to tackle so-called “short loops”, i.e., the repeated occurrence of the same event.
Journal ArticleDOI

Mining taxonomies of process models

TL;DR: An approach to process mining is introduced that extends classical discovery mechanisms by means of an abstraction method aimed at producing a taxonomy of workflow models, showing how the taxonomical view of the process can effectively support an explorative ex-post analysis, hinged on the different kinds of process execution discovered from the logs.
Book

Recent Advances in Data Mining of Enterprise Data: Algorithms and Applications

TL;DR: The main goal of the new field of data mining is the analysis of large and complex datasets, which may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a Manufacturing system, or data for business related decision-making.
Journal ArticleDOI

Petri net-based process monitoring: a workflow management system for process modelling and monitoring

TL;DR: A new Petri net extension for modelling workflow activities together with their required resources is presented: resource-aware Petri nets (RAPN), and an intelligent workflow management system for process monitoring and delay prediction is introduced.
References
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Journal ArticleDOI

The application of Petri-nets to workflow management

TL;DR: This paper introduces workflow management as an application domain for Petri nets, presents state-of-the-art results with respect to the verification of workflows, and highlights some Petri-net-based workflow tools.
Book

Communicating and Mobile Systems: the Pi-Calculus

TL;DR: Communicating Systems: Behaviour of automata and Observation equivalence: theory, examples, and Discussion and related work Bibliography Index.
Journal ArticleDOI

Workflow Patterns

TL;DR: In this paper, the authors describe a number of workflow patterns addressing what they believe identify comprehensive workflow functionality and provide the basis for an in-depth comparison of commercial workflow management systems.
Book

Workflow Management: Models, Methods, and Systems

TL;DR: This book provides a basic overview of workflow terminology and organization, as well as detailed coverage of workflow modeling with Petri nets, to provide a comprehensive introduction to workflow management.
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