• A Goal-Driven Evaluation Method Based On Process Mining for …

    Therefore, this study aims to introduce a goal-driven process evaluation method based on PM for healthcare processes. The proposed method comprises the following steps: defining goals and questions, data extraction, data preprocessing, log and pattern inspection, PM analysis and generating answers to questions, evaluating results, and ...

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  • 2021 3rd International Conference on Process Mining (ICPM) | …

    Read all the papers in 2021 3rd International Conference on Process Mining (ICPM) | IEEE Conference | IEEE Xplore IEEE websites place cookies on your device to give you the best user experience. By using our websites, you agree to the placement of these ...

  • (PDF) Process mining: From theory to practice

    Process Mining is the practice of visualization and analysis of event logs with the help of algorithms and mathematical procedures [68]. Particularly, from looking at …

  • Process Hierarchy

    Another key concept is the idea of a process hierarchy and the use of levels to describe the subdivision of processes. We show an abstract process hierarchy in Figure 8.2 and have added notes on the left to suggest how a process analysis effort will tend to vary, depending on whether we are dealing with very large processes, mid-level processes, or specific activities or tasks.

  • SAGE Journals: Your gateway to world-class research journals

    184 Health Informatics Journal 26(1) software.23 These standards may be developed by national or international standards bodies and endorsed by governments or other authorities. Ensuring the safety of software in an interfaced, networked clinical environment.

  • ‪Owen Ashby Johnson‬

    Electronic health records in the UK and USA. OA Johnson, HSF Fraser, JC Wyatt, JD Walley. The Lancet 384 (9947), 954., 2014. 20. 2014. Process mining in primary care: A literature review. R Williams, E Rojas, N Peek, OA Johnson. Studies in health …

  • A dataset to facilitate automated workflow analysis

     · Process Mining (or Workflow Mining) is a set of algorithms for discovering workflows in an organization based on labeled event logs [], or PCAP data []. The general concept is to construct a complete business workflow using exemplar cases within an event log which represent instances of the workflow being followed.

  • (PDF) Instant Noodles: Processing, Quality, and Nutritional Aspects …

    Fax: +91-1662-263313; Tel. No.: +91-1662-263313. Instant Noodles: Processing, Quality and Nutritional Aspects. Abstract. Noodles are one o f the …

  • A Process Mining Approach for Studying Traveller''s Behaviour in …

     · This paper shows the application of process mining to analyze a sales web logs to map the customer journey. By means of a case study, in a receptive travel agency, the results of the use of these techniques are presented, discovering the processes that better describe the traveller''s behaviour and finding useful insights to improve the customers experiences during …

  • PODS4H – Process-Oriented Data Science for Healthcare

    PODS4H – Process-Oriented Data Science for Healthcare. –This workshop is organized in conjunction with the International Conference on Process Mining (ICPM 2021) in Eindhoven (the Netherlands) on November 1, 2021 —. The world''s most valuable resource is no longer oil, but data. The ultimate goal of data science techniques is not to ...

  • Discover Journals, Books & Case Studies | Emerald Insight

    Process mining provides a generic collection of techniques to turn event data into valuable insights, improvement ideas, predictions, and recommendations. This paper uses spreadsheets as a metaphor to introduce process mining as an essential tool for data ...

  • Special Issue : Process Mining and Emerging Applications

     · Special Issue "Process Mining and Emerging Applications". A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section " Databases and Data Structures ". Deadline for manuscript submissions: closed (15 December 2020) .

  • Process Mining Manifesto

    4 Process Mining Characteristics: 1. Process mining is not limited to control-flow discovery. The discovery of process models from event logs fuels the imagination of both practitioners and academics. Therefore, control-flow discovery is often seen as the most

  • Home page

    The goal of this Task Force is to promote the research, development, education and understanding of process mining. More concretely, the goal is to: make end-users, developers, consultants, and researchers aware of the state-of-the-art in process mining, promote the use of process mining techniques and tools and stimulating new applications,

  • Discover Journals, Books & Case Studies | Emerald Insight

     · The purpose of this paper is to propose a process mining approach to help in making early predictions to improve students'' learning experience in massive open online courses (MOOCs). It investigates the impact of various machine learning techniques in ...

  • TEXT MINING: CONCEPTS, PROCESS AND APPLICATIONS | Open Access Journals

    Text Mining is a new field that tries to extract meaningful information from natural language text. It can be defined as the process of analyzing text to extract information that is useful for a specific purpose. Compared with the type of data stored in databases, text is unstructured, ambiguous, and difficult to process.

  • International Journal of Engineering and Techniques |International, Peer Reviewed Scholarly Journals

    International Journal of Engineering and Techniques A review Roorkee College of Engineering, Roorkee. techniques, different process mining algorithms, challeng I. INTRODUCTION The increasing demand to learn more about how their process operates in

  • Discover Journals, Books & Case Studies | Emerald Insight

    The purpose of this paper is to propose a process mining approach to help in making early predictions to improve students'' learning experience in massive open online courses (MOOCs). It investigates the impact of various machine learning techniques in ...

  • A Process Mining Based Service Composition Approach for …

    process mining are based on event data like 𝐸𝑀.Sowe transform the ILM into EM by mapping the attribute of 𝐼𝐿𝑀.𝑠𝑒𝑟V𝑖𝑐𝑒.𝑈𝑅𝐿and𝐸𝐷𝑀.𝑠𝑒𝑟V𝑖𝑐𝑒.𝑈𝑅𝐿,whichispresented as𝑒V𝑒𝑛𝑡()inthealgorithm. 6 …

  • Process mining: from theory to practice | Emerald Insight

     · Process mining: from theory to practice - Author: Chris J. Turner, Ashutosh Tiwari, Richard Olaiya, Yuchun Xu Books and journals Case studies Expert Briefings Open Access Advanced search To read the full version of this content please select one of the ...

  • Leveraging Data Quality to Better Prepare for Process Mining: An …

    While noting the importance of data quality, existing process mining methodologies (i) do not provide details on how to assess the quality of event data (ii) do not consider how the identification of data quality issues can be exploited in the planning, data extraction

  • Process Mining in 10 minutes with R | by Dr. Gregor Scheithauer | …

     · Process Mining makes process analysis relevant again. Instead of relying solely on workshops, interviews, or outdated process documents Process Mining makes use of data that is generated in your ...

  • Process mining: a research agenda

    Process mining aims at extracting information from event logs to capture the business process as it is being executed. In this paper, we put the topic of process mining into context, discuss the main issues around process mining, and finally we introduce the papers in this special issue. Previous article. in issue. Next article.

  • RoleofStochasticPetriNet(SPN)inProcessDiscoveryfor …

    e three main types of process mining are process discovery,conformancechecking,andenhancement this research work, attention is placed on the process discovery. In process discovery it is known that, without using any a priori information, event logs produce a

  • TEXT MINING: CONCEPTS, PROCESS AND APPLICATIONS | Open …

    Text Mining is a new field that tries to extract meaningful information from natural language text. It can be defined as the process of analyzing text to extract information that is useful for a specific purpose. Compared with the type of data stored in databases, text is unstructured, ambiguous, and difficult to process.

  • Information Systems | Conformance Checking in Process Mining | …

    Journals & Books Register Sign in Sign in Register Journals & Books Help Information Systems Supports open access 7.3 CiteScore 2.309 Impact Factor Articles & Issues About ...

  • The top seven most popular journals in process mining from 2005 …

    Download Table | The top seven most popular journals in process mining from 2005 to 2014. from publication: A systematic mapping study of process mining …

  • Quality-informed semi-automated event log generation for process mining

    Abstract. Process mining, as with any form of data analysis, relies heavily on the quality of input data to generate accurate and reliable results. A fit-for-purpose event log nearly always requires time-consuming, manual pre-processing to extract events from source data, with data quality dependent on the analyst''s domain knowledge and skills.

  • ‪Bernardo Nugroho Yahya‬

    available. not available. Based on funding mandates. Bernardo Nugroho Yahya. Hankuk University of Foreign Studies. Verified email at hufs.ac.kr. Machine Learning Business Process Management Process Mining Human Behavior Human Activity. Articles Cited by Public access.

  • Study of EHR-mediated workflows using ethnography and process mining …

     · 2 Health Informatics Journal 00(0) Abstract Rapid ethnography and data mining approaches have been used individually to study clinical workflows, but have seldom been used together to overcome the limitations inherent in either type of method. For rapid ...

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