XES was adopted in 2010 by the IEEE Task Force on Process Mining as the standard format for logging events. It has become an official IEEE standard in 2016. Currently, there are over 25 commercial process mining tools

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Information systems log data during the execution of business processes in so called event logs . Process mining aims to improve business processes by extracting knowledge from event logs. Currently, the de-facto standard for storing and managing event data, XES, is tailored towards sequential access of this data

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Mar 29, 2021 Process Mining is the amalgamation of computational intelligence, data mining and process management. It refers to the data-oriented analysis techniques used to draw insights into organizational processes. ... But the recommended data format for event logs is XES(EXtensible Event Stream). This is an XML based hierarchical, tag-based log storage

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Process Mining on Uncertain Event Data MarcoPegoraro 1 1Chair of Process and ... “An XES Ex-tension for Uncertain Event Data”. In: Proceedings of the

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DB-XES: Enabling Process Discovery in the Large Alifah Syamsiyah, Boudewijn F. van Dongen, Wil M.P. van der Aalst ... Process mining is a research discipline that sits between machine learning and data mining on the one hand and process modeling and analysis on the other hand. The goal of process mining is to turn event data into insights and

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Feb 07, 2017 The XES format is a standard defined by the IEEE task force on process mining. For details on the XES format, please look here. ... Fluxicon - Process mining for professionals The process mining technology in Fluxicon's products can automatically create smart flow

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Process Mining research is concerned with the extraction of knowledge about a (business) process from its process execution logs. Process Mining strives to gain insight into various perspectives, such as the process (or control flow) perspective, the performance, data, and organizational perspective (The processmining.org web site has more in

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Process Models. Thus far, we have seen processes, and, we have seen a simple example of an event log. However, as we have indicated, process mining is all about understanding processes.Hence, to be able to understand, and reason on, processes, we need some means to communicate about processes, i.e., means to come to a common understanding of how a specific process is expected to be executed

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Nov 04, 2021 It is my pleasure to welcome you to Eindhoven for the 3rd International Conference on Process Mining (ICPM 2021). This year we are delighted to confirm with certainty that this edition of ICPM will be held in person at Eindhoven University of Technology, The Netherlands from October 31 till November 4, 2021.. Eindhoven is a bustling city in transition, with a constant flow of new

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The IEEE Task Force on Process Mining established the International Process Mining Conference (ICPM) series, [9] lead the development of the IEEE XES standard for storing and exchanging event data [10] [11], and wrote the Process Mining Manifesto [12] which was translated into 16 languages

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Posted on September 23, 2021 October 26, 2021 Author Eric Verbeek. Dominique Sommers, Vlado Menkovski and Dirk Fahland. Automatically discovering a process model from an event log is the prime problem in process mining. This task is so far approached as an unsupervised learning problem through graph synthesis algorithms

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Process Mining is applied over Event Logs. Event Data are stored in different formats and location, XES eXtensible Event Stream standardises the event data and

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Apr 01, 2021 It is noteworthy that event logs are the output to track the as-happened construction process in machine-interpretable formats, including CSV and eXtensible Event Stream (XES). Process mining is especially used to discover knowledge from such data, which provides a new way of monitoring and improving the process

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cesses in so called “event logs”. Process mining aims to improve business pro-cesses by extracting knowledge from event logs. Currently, the de-facto standard for storing and managing event data, XES, is tailored towards sequential access of this data. Handling more and more data in process mining applications is an

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Dec 19, 2020 About XES. The XES standard defines a grammar for a tag-based language whose aim is to provide designers of information systems with a unified and extensible methodology for capturing systems’ behaviors by means of event logs and event streams. This standard includes a “XML Schema” describing the structure of an XES event log/stream and a

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Process mining aims to improve business processes by extracting knowledge from event logs. Currently, the de-facto standard for storing and managing event data, XES, is tailored towards sequential access of this data. Handling more and more data in process mining applications is an important challenge and there is a need for standardized ways of storing and processing event data in the large

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