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XES Process Mining

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  2. XES (eXtensible Event Stream) XES is the successor of MXML. Based on many practical experiences with MXML, the XES format has been made less restrictive and truly extendible. In September 2010, the format was adopted by the IEEE Task Force on Process Mining
  3. ing). The spectacular growth of the digital universe, summarized by the overhyped term Big Data, makes it possible to record, derive, and analyze events
  4. ing tools, and also more security for investments in process
  5. ing 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
  6. ing data using the XES standard Event Log files. This shows QPR's commitment in providing ready-made Connectors for various ERP systems and standards. More information about IEEE XES Standard: http://www.xes-standard.org
An Introduction to the XES Standard — Flux Capacitor

Process Mininghttp://www

Die meisten Werkzeuge zum Process Mining, beispielsweise ProM, verwenden Ereignisprotokolle (Event Logs) im eXtensible Event Stream (XES)-Format als Ausgangspunkt. Um Ereignisprotokolle aus anderen Formaten, insbesondere CSV und Excel (XLS), in XES zu konvertieren, habe ich die kleine Excel VBA-Anwendung XLS2XES erstellt, die hier herunter geladen werden kann Process Mining. 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. Following is a general framework of process mining. Real-world events and business processes control the software systems and generate event logs. Each log corresponds to activity along with extra information such as timestamp, type, the context of the event etc. import pm4py log = pm4py.read_xes('<path-to-xes-log-file.xes>') process_model = pm4py.discover_bpmn_inductive(log) pm4py.view_bpmn(process_model) Process Mining Made Easy Discovering a process model using less than 10 lines of code Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining Note that process mining includes (automated) process discovery (extracting process models from an event log), conformance checking (monitoring deviations by comparing model and log), social network/organizational mining, automated construction of simulation models, case prediction, and history-based recommendations

Process Mining Engine - Common Understanding Wiki

Mapping Data Sources to XES in a Generic Way. Process Mining Applied to the Change Control Board Process: Discovering Real Processes in Software Development Process. Extracting user profiles with Process Mining at Philips Medical Systems XES is the standard format for process mining supported by the majority of process mining tools. XES was adopted in 2010 by the IEEE Task Force on Process Mining as the standard format for logging events. It is now in the process of becoming an official IEEE standard 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. In Process Mining, we are used to have logs containing at least: A case identifier; An activity; A timestamp; The case identifier associates an event, happening to a system, to a particular execution of the process. This permits to apply algorithms such as process discovery, conformance checking,

Getting data to .XES format for PM4PY. I have been developing a Process Mining app that uses PM4PY for process discovery. The miner reads .XES files, which are the standard for process mining, but there is one major issue. Nearly all customers have their log data in other formats, such as .csv or Excel Process Mining setzt auf den Ereignisprotokollen der Prozessausführungen in den unterschiedlichen von einem Unternehmen genutzten IT-Systemen auf und gibt damit Einblicke in die realen Abläufe von Prozessen (vergleiche Accorsi/Ullrich/van der Aalst 2012, S. 354): Jede Aktivität in einem transaktionalen IT-System führt zu einem Eintrag in ein Ereignisprotokoll, auch Logfile genannt, dessen. Process Mining. IDisziplin innerhalb des (Business) Process Managements, die in den letzten Jahren sehr an Bedeutung gewonnen hat. IUrsprünglich für Softwareprozesse entwickelt, heute haupt- sächlich für Geschäftsprozesse eingesetzt. IGrundidee: Nutzung von Ereignisprotokollen (Event Logs), um Informationen über die zu Grunde liegenden Prozesse und. A XES instance corresponds to a file-based event log or a formatted event stream that can be used to transfer event-driven data in a unified and extensible manner from a first site to a second site. Typically, the first site will be the site generating this event-driven data (for example, workflow systems, case handling systems, procurement systems, devices like wafer steppers and X-ray machines, and hospitals) while the second site will be the site analyzing this data (for.

Use reviewing.xes/reviewing.pnml to discover the underlying process model (already the alpha algorithm will find a good model, see for example reviewing.pnml/reviewing.tpn). Since the log also contains information about originators, contains timestamps, etc., all the process mining techniques described in the book can be applied to the event log. Start by applying the dotted chart analysis. Then use the various discovery techniques. Also discover the social network and organizational. for analysis and they are therefore not directly applicable to existing process mining techniques. 3 DB-XES as Event Data Storage. In the eld of process mining, event logs are typically considered to be structured according to the XES standard [6]. Based on this standard, we create a relational representation for event logs, which we called DB-XES. We select relational databases rather than.

Process Mining in Invoice Handling Process - IEEE Task

IEEE XES Standard - IEEE Task Force on Process Minin

  1. ing techniques grew rapidly in recent years, a large portion of effort invested in process
  2. ing and business processes, and strives to be a general standard for event log data. Extensibility It must be easy to add to the standard in the future. Extension of the standard should be as transparent as possible, while maintaining backward and forward compatibility. In the same vein, it must be possible to extend the standard for special.
  3. ing represents a collection of tools, methods, techniques, algorithms, etc., that allows us to achieve a better understanding of the exeuction of a process, by means of analyzing the operational execution data that is generated during the execution of the process. Beautiful definition, isn't it
  4. ing applications has been released by HSPI S.p.A. 8 March 2021

Application domains of the XES standard, and the OpenXES library, are manifold. They include, but are not limited to monitoring of process-aware information systems, process mining and general process analysis, and data mining. XES is an open standard for storing and managing event log data In this menu you can find the most relevant resources based on the typical visitor profiles • Process-Mining nutzt die in den EDV-Systemen automatisch gesammelten Daten zur Gewinnung von Wissen IEEE 1849-2016 XES Standard • Kommerzielle Process-Mining-Software bietet für gängige ERP Systeme Loader oder Konnektoren an Anbieter z.B. signavio, lanalabs, celonis. Seite 13 Grundlagen des Process Minings Stefan Tönnissen | fhuture Baumstruktur von Ereignisprotokollen. Process mining is a family of techniques relating the fields of data science and process management to support the analysis of operational processes based on event logs. The goal of process mining is to turn event data into insights and actions. Process mining is an integral part of data science, fueled by the availability of data and the desire to improve processes In process mining, the two most common data formats are CSV and XES. The latter became a standard format for storing event logs. You can read more about it here. In the table below, we can see the fragment of the log for the 1st case. In this example, the resource is the person who completed the action (probably on some client's behalf). Please pay extra attention to the naming convention.

PostFinance - Redefining the Reality of Banking Processes

Keywords: Process mining, blockchain, smart contracts, logging, XES 1 Introduction Blockchain technology has been gaining popularity as a platform for developing decentralized applications (DApp) [14] that are, amongst others, used to exe-cute cross-organisational processes [13,3,10,7]. In such cases, process mining [1] can assist developers in (i) understanding the actual usage of the DApp. Da XES standardisiert ist (IEEE 2016), kann bei erfolgreicher Verarbeitung davon ausgegangen werden, dass andere Process Mining Werkzeuge ebenfalls einsetzbar sind. Ziel dieses Beitrags ist es, die notwendigen Logdaten aus den IT-Systemen zu extrahieren, aufzubereiten und in das für Process Mining geeignetes XES-Format zu überführen Abbildung: Process Mining als Brücke zwischen Data Science und Process Science (Vgl. van der Aalst 2016, S.18) Das Münchner Unicorn Celonis bietet cloudbasierte und KI-gestützte Process Mining-Technologie aus der Cloud oder als On-Premise-Lösung an. Der Erfolg des 2011 gegründeten Start-Ups zeigt sich daran, dass es am Markt inzwischen mit über zwei Mrd. Euro bewertet wird und im letzten. Process mining seeks the confrontation between event data (i.e., observed behavior) and process models (hand-made or discovered automatically). This technology has become available only recently, but it can be applied to any type of operational processes (organizations and systems). Example applications include: analyzing treatment processes in hospitals, improving customer service processes. Find out how your processes are performing. There's 2 sides to every process. How we designed them. And how we execute them. Processes don't run the way we designed them. That hurts execution and outcomes. Celonis Snap can help. The free Process Mining platform in the cloud lets you discover how your processes really work

An Introduction to the XES Standard - Process Mining and

Project description. # PM4Py PM4Py is a python library that supports (state-of-the-art) process mining algorithms in python. It is completely open source and intended to be used in both academia and industry projects. PM4Py is a product of the Fraunhofer Institute for Applied Information Technology. ## Documentation / API Full documentation of. Beide Faktoren adressiert Process Mining in erstaunlich guter Qualität. Doch wie startet man mit Process Mining, welche Werkzeuge sind notwendig und wie werden schnell Resultate erzeugt? Diesen Fragen widmen wir uns und ermöglichen so einen unkomplizierten Einstieg in das Thema Process Mining - denn bereits mit wenigen Schritten ist es möglich, überraschende Ergebnisse zu erzielen XES Extensible Event Stream XML Extensible Markup Language XSOM XML Simple Organisational Model . 1 | S e i t e 1 Einleitung 1.1 Motivation und Zielsetzung Seit Anfang der 1990er Jahre hält die modellbasierte Ausführung von Prozes-sen immer mehr Einzug in Unternehmen und deren Informationssysteme. In der Software-Entwicklung werden heute beispielsweise vor der Implementie-rung Modelle der. Processing event logs is to convert the information for process mining we got from log processing into the input criterion required by the process mining tool (like ProM and Disco ), which requires XES (Extensible Event Stream) as input format. XES file is a process instance that has integrated multiple service events. It contains multiple processes, which are called trace in XES standards. Process mining represents a set of techniques which are widely used to extract insights from event data generated by information systems. The starting point for process min- ing techniques is formed by event logs. The XES log format [1] is widely employed to generate event logs. In general, a XES log consists of a collection of traces. A trace describes the life-cycle of a particular case (i.e.

Process Mining can be used to address common Shared Services problems However, it is often easier to start with a simple event log stored in CSV format or XES format. In a CSV file each row refers to an event and the columns refer to case, activity, timestamp, etc. XES is the IEEE standard for storing event data (see www.xes-standard.org) supported by tools such as ProM, Celonis, Disco. So let's select a loan process CSV file and press Open. And we press the Action button, there's only one plugin that's available, which, actually, is the conversion to the XES event log. When we click this plugin, the first wizard screen shows you the data that will be imported, or at least the first couple of rows, and also how the file should be interpreted. So how is the comma or the. The tools support for process mining has developed in the recent years in different directions: standalone tools, libraries for the most known programming languages, cloud solutions that store and analyze event data. All of these require the support of different standards, numeric calculus and optimization techniques, visualizations. Examples are the XES standard (XML) for the storage of event. So the input of process mining to ProM are usually event logs. And in the extraction phase, you decide what data to include to create an event log. In this lecture, I'll first explain what an event log is, and what the ingredients are, and what the structure is of an event log, such that later on you know what data to include in an event log and how to create this

  1. ing, semantic product modeling, ontologies 1 Einleitung und Motivation Die Digitale Transformation durchdringt mittlerweile die meisten Gebiete des täglichen Lebens. So wurde auch die Produktentwicklung im Laufe der Jahre erst digitalisiert und ausgehend davon immer weiter digital transformiert. 2 Bei dieser Transformation werden bestehende Prozesse und Methoden mit Hilfe.
  2. ing tool ProM, their Process Mining software Disco was developed from scratch with the goal to make Process Mining accessible for business users. Disco's framework is based on proven scientific research and it has been in use in various industries with use cases like customer journey analysis, audit, process improvement and optimization. The tool.
  3. ing algorithms in python. It is completely open source and intended to be used in both academia and industry projects. PM4Py is a product of the Fraunhofer Institute for Applied Information Technology
  4. Multi-Level Process Mining: myInvenio is capable of handling multi-level event logs for complex processes containing entities with many-to-many relationships, such as Procure to Pay (P2P) and Order to Cash (O2C). Users can map several derived processes within a single comprehensive model for end-to-end visibility without biased or misleading statistics, solving the limitations faced by.

Process Mining Connectors - XES QP

Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise resource planning system can be used to discover models describing processes, organizations, and products. Moreover, it is possible to use process mining to monitor deviations (e.g., comparing the observed events with. Process Mining GmbH, Grantham-Allee 2-8, 53757 Sankt Augustin, +49 2241 3972 160, info@rheni.de P rocess Mining ist eine sogenannte Big Data Technologie. Informationssysteme erzeugen t aglich groˇe Mengen von Log- Daten, die h au g ungenutzt bleiben. Mit Pro-cess Mining werden diese Daten so struk-turiert und dargestellt, dass wichtige Kenn-zahlen ermittelt, Prozessstrukturen entdeckt und Abl. Abstract. Process mining has been around for a decade, and it has proven to be a very fertile and successful research fleld. Part of this suc-cess can be contributed to the ProM tool, which combines most of the existing process mining techniques as plug-ins in a single tool. ProM6 removes many limitations that existed in the previous versions. In this blogpost I explain how to invoke the process mining tool ProM from the commandline without using its graphical user interface. This allows you to run process mining analyses on several logs in batch mode without user interaction. Before you get too excited: there are quite some limitations to this, which I will addres Process Mining; IEEE 1849-2016 XES Standard; ProM Tools; Springer Book - Process Mining - Data Science in Action; Betreuer. Dr.-Ing. M. Seran Uysal. Weitere Informationen. Für weitere Informationen senden sie bitte eine e-mail an Dr.-Ing. M. Seran Uysal. Fügen Sie bitte einige zusätzliche Informationen über ihren Hintergrund sowie eventuelle Punkte für komplettierte Kurse hinzu. Letzte.

Process Mining - kneuper

Eksploracja procesów (ang. process mining) - zbiór metod i narzędzi wykorzystywanych do budowy modeli procesów, ich weryfikacji i rozbudowy na podstawie danych pochodzących z dzienników zdarzeń powszechnie dostępnych we współczesnych systemach informatycznych, gdzie dane te opisują rzeczywisty (tj. nie hipotetyczny) przebieg procesów biznesowych From the XES-Standard web page, XES is an XML-based standard for event logs. Its purpose is to provide a generally-acknowledged format for the interchange of event log data between tools and application domains. Its primary purpose is for process mining, i.e. the analysis of operational processes based on their event logs. If you are looking for open-source process mining tool, I recommend Apromore: Advanced Process Analytics Platform It has both a cloud (server-deployable) version and also a desktop version and it currently supports: * Log filtering * Automated pro.. The XES standard is used for process mining. The DCR XML Log format is a log format dedicated for declarative process mining. The main difference between XES and DCR XML Log is that XES is more verbose. Use our online converter which can be found here. DCR Solutions provide a XSLT that can convert DCR XML Log into XES. It can be downloaded from this link. Variout tools exists that can convert. Master Thesis - Process Mining and Simulation: A Match made in Heaven! Bachelor Thesis - Using actionable insights provided by process analytics to workflow automation with a focus on Customer Relationship Management process; Bachelor Thesis - Process Mining on the Cloud (using Python) Bachelor Thesis - Big Data Process Mining in Pytho

Guide to PM4Py: Python Framework for Process Mining

Business Process Analysis. bupaR is an open-source, integrated suite of R-packages for the handling and analysis of business process data. It currently consists of 8 packages, including the central package, supporting different stages of a process mining workflow. bupaR provides support for different stages in process analysis, such as. Process-Mining Abbildung1.4:Verbindung zwischen Data-Science und Process-Science (Aalst 2016, S.16) Process-Mining kann folglich als die fehlende Verbindung zwischen Data-Science und Process-Science gesehen werden (Abbildung1.4). Process-Mining versucht eine Verbin-dungzwischenEvent-Daten,d.h.dasbeobachteteVerhalten,unddenProzessmodellen Elkoumy / amun. Star 2. Code Issues Pull requests. Amun is a method to protect the disclosure of DFGs extracted from business process event logs in order to strike a balance between disclosure risk and utility loss under a differential privacy model. process-mining differential-privacy privacy-enhancing-technologies business-process-management

Government Process Mining in the Brazilian Executive

PM4Py - Process Mining for Pytho

  1. ing is fundamentally different as it starts from observed behavior rather than modeled behavior (Aalst 2016). Event data, recorded in a so-called event log, describe what really happened. Each event refers to an activity that occurred at a particular point in time for a particular case. The chronological ordering of events for a particular case yields a trace, i.e., a sequence of.
  2. ing software is that it takes in all this data, in multiple formats, across multiple systems and
  3. Xes - принятый повсеместно для Process Mining формат логов, написанный на языке XML. XML - язык разметки документов в форматах xml, xes, rss, xhtml, fb2, широко используемый во всех областях IT. Этот формат не табличный и требует.
  4. Process Mining Tools Aruna Devi .T, Dr. Kumudavalli M.V, Dr. Sudhamani Abstract—Service-oriented enterprise computing systems are the recent trends in which the business process plays a vital role. Nowadays theorgani-zations are keen on storing their data in a useful format so that the database creation and retrieval process becomes easier.Event logs are stored in information systems like.
  5. Process Mining: From Analytics To Action. Opinions expressed by Forbes Contributors are their own. One challenge for the business process movement has always been the tradeoff between deep.
  6. Process Mining ist eine Familie von Techniken, die die Bereiche Data Science und Prozessmanagement miteinander verbinden , um die Analyse von Betriebsprozessen auf der Grundlage von Ereignisprotokollen zu unterstützen. Ziel des Process Mining ist es, Ereignisdaten in Erkenntnisse und Aktionen umzuwandeln. Process Mining ist ein wesentlicher Bestandteil der Datenwissenschaft, angetrieben von.

Process Mining techniques and uses the XES-Standard [TU/e 2012]; [Van Dongen et al. 2005]. Process Model Discovery is one of the major disciplines of Process Mining. In model discovery, algorithms are provided that try to explain the behavior of a process which is recorded in the event log. Thereby, most of the algorithms do not consider any a-priori information. One simple but very famous. To answer these questions, we use the process mining plug-ins supported in ProM6. This tool is open-source and it can be downloaded at www.processmining.org. For the reader unfamiliar with process mining, Sec-tion 1.2 provides a concise introduction. All the questions listed in Section 1.1 are answered based on an event log from the running example described in Section 1.3. Finally, we advice.

Quickly understanding process mining by analyzing event

Home page - IEEE Task Force on Process Minin

ProM6 is a completely new process mining framework based on XES and enabling innovative process mining functionality. 1 Introduction Unlike classical process analysis tools which are purely model-based (like simu-lation models), process mining requires event logs. Fortunately, today's systems provide detailed event logs. Process mining has emerged as a way to analyze sys-tems (and their. We rst introduce a relational representation of XES, called DB-XES. Dif-ferently from normal process mining analysis which uses event log les, we use event data stored in relational databases. In other words, we move the location of data from les to databases. This provides scalability in terms of memory use due to the fact that memory is not bounded to the computer's disk size. Second, we. Process Mining bei Softwareprozessen: Ein Uberblick Ralf Kneuper, Dr. Ralf Kneuper Beratung, ralf@kneuper.de 1 Einf uhrung Process Mining umfasst eine Reihe von Methoden und Techniken, um Daten aus Ereignisdaten, den soge-nannten Event Logs, zu analysieren und Informatio-nen uber die zu Grunde liegenden Prozesse und de- ren Bezug zu Prozessmodellen abzuleiten. Es ist ver-wandt mit Data Mining.

Process Mining und regelbasierte Analy-sen in einem prozessorientierten Frage-bogensystem. Masterarbeit an der Universität Ulm Vorgelegt von: Wolfgang Blocherer wolfgang.blocherer@uni-ulm.de Gutachter: Prof. Dr. Manfred Reichert Dr. Vera Künzle Betreuer: Johannes Schobel 2015. Fassung 6. Januar 2016 c 2015 Wolfgang Blocherer This work is licensed under the Creative Commons. Attribution. 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.

These include the organization of the annual International Process Mining Conference (ICPM) series, standardization efforts leading to the IEEE XES standard for storing and exchanging event data, and the Process Mining Manifesto which was translated into 16 languages. The Task Force on Process Mining also publishes a newsletter, provides data sets, organizes workshops and competitions, and. Converting csv file to xes file in Process Mining. Muna. August 2019. 2. 295. Muna. August 2019. Need a simple example of CPN model in - Development. Question . syjing628. August 2019. 0. 68. August 2019. The Convert CSV to XES plugin does not respond properly in Process Mining. process_mining. July 2019. 2. 87. process_mining. July 2019. JSON to XES in - Usage. Arnaud. April 2019. 2. 302. XES Working Group. News. Participants. Certificates. Documents. Scientific Research Community on Process Mining. Contact. This old TFPM site is outdated. Please visit the new TFPM site by clicking on the logo above. More and more people, both in industry and academia, consider process mining (see the promotional video for an introduction) as one of the most important innovations in the field. Process Mining at ABB. ABB is a technology firm with operations in more than 100 countries. It offers products and services in electrification, automation, robotization, and digitalization. ABB. Process Mining, welches eines der heißen Themen der Forschung im Bereich des Geschäftsprozessmanagements geworden ist. Auch von Seiten der Industrie gibt es ein großes Interesse an Process Mining. Mehr und mehr Softwarehersteller erweitern ihre Werkzeuge mit Process-Mining-Funktionalität. Beispiele für Softwareprodukte mit Process-Mining

About XES - IEEE Task Force on Process Minin

Process Mining - reddi

Even if you do not work with other process mining tools, the MXML or XES import can be still useful for you: No configuration Data sets exported in MXML or XES already contain the configuration information (about case IDs, activities, timestamps, etc.). So, if you want to exchange a data set with a co-worker who also uses Disco, you can send her an MXML or XES file to let her skip the. Relational XES: Data Management for Process Mining @inproceedings{Dongen2015RelationalXD, title={Relational XES: Data Management for Process Mining}, author={B. F. Dongen and Shiva Shabani}, booktitle={CAiSE Forum}, year={2015} Object-Centric Process Mining (OCPM), one of PADS key research topics, aims to address this problem. The usual approach to deal with the problem is to flatten the event data picking one of many possible case notions. There may be several candidate case notions leading to different views on the same process. As a result, one event may be related to different cases (convergence) and, for a.

Process Mining in der Gemeinkosten-Allokation SpringerLin

Hierarchical process mining: A patent-pending technology is used to examine process flows from a hierarchical perspective, hiding or revealing sub-processes based on hierarchy in the event log. The aggregated data is visible in the process graph while its level of abstraction can be adjusted accordingly. Use cases include organizational mining - hierarchy based on various company structure. MQTT-XES: Real-time Telemetry for Process Event Data Andrea Burattin1, Martin Eigenmann 2, Ronny Seiger , and Barbara Weber 1 Software and Process Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark 2 Institue of Computer Science, University of St. Gallen, 9000 St. Gallen, Switzerland Abstract. This demo paper presents an infrastructure to enable real

15 2.3 Datenbeschaffung 15 Methodische Grundlagen des Software-Engineering SS 2014 Seite 15 XES (eXtensible Event Stream) Standard-Datenspeicherformat für Event-Logs. Siehe www.xes-standard.org. Von IEEE Arbeitsgruppe für Process-Mining übernommen. Vorgänger: MXML und SA-MXML. Von Tools wie ProM (ab Version 6), Nitro, XESame und OpenXES. Goal: The use of semantic-based approaches to manage perspectives of process mining. Emphasis on improving the information values and analysis of process models and event data logs. Project topic. Sepsis Cases - Event Log.xes. gz (197.76 kB) view download. TEXT. readme. txt (2.01 kB) view download. 1/1. Switch View. Thumbnail view List view File view. 3 files. Sepsis Cases - Event Log . Cite Download all (206.82 kB)Share Embed. dataset. posted on 07.12.2016, 00:00 by Felix Mannhardt. This real-life event log contains events of sepsis cases from a hospital. Sepsis is a life threatening. The goal of process mining is to gain process knowledge, compliance and room for improvement by investigating recorded event data. Previous approaches focused on process discovery by event data from various specific systems. IHE, as a globally recognized basis for healthcare information systems, defines in its ATNA profile how real-world events must be recorded in centralized event logs. The. Process Recorder (für Process Mining) Der X1 Process Recorder zeichnet nicht nur Prozesse auf: Er generiert BPMN-Prozessmodelle, Klickpfad-/ Prozess-Dokumentationen sowie XES-Dateien, die den Einsatz von Process Mining vereinfachen. Management Dashboard. In einem übersichtlichen Dashboard erleichtern die X1 Controlling- und Analytics-Funktionen das Reporting sowie die Vorbereitung von.

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