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On predicting academic performance with process mining …

 · 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 combination with process mining features to measure effectiveness of these techniques.,Student''s data (e.g. …

Analysis of Academic Performance in massive Open Online ...

Analysis of Academic Performance in massive Open Online Courses (Moocs) Using Process Mining. International Journal of Computer Trends and Technology, 68 (12), 21-25. Abstract. The purpose of this paper is to provide a survey of academic performance in massive open online courses (MOOCs) to improve students'' learning experience.

Process mining at Lufthansa CityLine: The path to …

2021-11-10 · Process mining is a big data technology, which focuses on the discovery, monitoring, and improvement of business processes, based on real data from information systems. This teaching case describes the objectives of a German airline as it introduces process mining and discusses current and future value potentials of this technology. The case is

Embedding process mining into financial statement audits ...

2021-6-1 · Process mining has served as an analysis technique in various scientific investigations for process discovery, conformance checking, enhancement and social network analysis (Maita et al., 2017) has been applied in scientific studies to a variety of different application domains, ranging from the healthcare (Yoo et al., 2016) and IT (Edgington et al., 2010) sectors to …

Journals In Processmining

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

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Postdoctoral Fellow in Process Mining — International ...

2020-12-28 · Postdoctoral Fellow in Process Mining. Laboratory of Process-Aware Information Systems in Moscow, Russia, invites applications for postdoctoral research positions in the field of process mining and behavioral analysis of distributed system models. The Higher School of Economics (HSE University) is a young, dynamic and fast-growing Russian ...

(6.10-7.3)_-CSDN

2020-7-3 ·  (8.3- 8.3 1)(Langmuir). . 09-05. 1044. 8.3 1,9. 2 : Qiang, Y., Wu, W., Lu, J., Jiang, B., Ziegmann, G. Progressive Molecular Rearrangement and Heat Generation of Amorphous Polyethene Under Sliding Friction: Insight from the United ...

A survey on educational process mining

2017-9-28 · Educational process mining (EPM) is an emerging field in educational data mining (EDM) aiming to make unexpressed knowledge explicit and to facilitate better understanding of the educational process. EPM uses log data gathered …

Process mining for self-regulated learning assessment in e ...

2019-5-10 · Content assessment has broadly improved in e-learning scenarios in recent decades. However, the e-Learning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only …

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,

Spreadsheets for business process management: Using ...

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 scientists and business analysts. The purpose of this paper is to illustrate that process mining can do with events what …

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Process Mining: Overview and Opportunities: ACM ...

2012-7-1 · Over the last decade, process mining emerged as a new research field that focuses on the analysis of processes using event data. Classical data mining techniques such as classification, clustering, regression, association rule learning, and sequence/episode mining do not focus on business process models and are often only used to analyze a specific step in the …

Guosheng KANG ()

2021-11-22 · Guosheng Kang, Liqin Yang, Liang Zhang. Verification of Behavioral Soundness for Artifact-centric Business Process Model with Synchronizations. Future Generation Computer Systems, Vol. 98, No. 2019, pp. 503-511, 2019. Guosheng Kang. Correctness of Artifact-Centric Business Process Models.

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.

(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 …

On predicting academic performance with process mining …

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 combination with process mining features to measure effectiveness of these techniques.,Student''s data (e.g. …

A review paper on Process Mining

2015-7-24 · 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 the real world in the companies have developed and there is increase in the use of process mining ...

Journal of Biomedical Informatics

The Journal of Biomedical Informatics reflects a commitment to high-quality original research papers, reviews, and commentaries in the area of biomedical informatics methodology. Although we publish articles motivated by applications in the biomedical sciences (for example, clinical medicine, health care, population health, and translational bioinformatics), the journal …

"Privacy-Preserving Process Mining

However, the impact ofprivacy regulations on the technical design as well as theorganizational application of process mining has beenlargely neglected. This paper set out to develop a protec-tion model for event data privacy which applies the well-established notion of differential privacy.

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Open Access Articles

Group-based privacy preservation techniques for process mining. Majid Rafiei, Wil M.P. van der Aalst Open Access. Seamless conceptual modeling of processes with transactional and analytical data. Carlo Combi, Barbara Oliboni, Mathias Weske, Francesca Zerbato Open Access. Managing polyglot systems metadata with hypergraphs

Process mining: from theory to practice | Emerald Insight

2012-6-1 · – The purpose of this paper is to present a comparison of a number of business process mining tools currently available in the UK market. An outline of the practice of business process mining is given, along with an analysis of the main techniques developed by academia and commercial entities. This paper also acts as a primer for the acceptance and further use …

ProcessMining

2021-10-25 · Background: After over 20 years of research, process mining has shown to be a rapidly growing discipline. This is testified by an established research community, publications in top conferences and journals, over 35 commercial process mining vendors, and the thousands of organizations already applying process mining.

Process Mining in Healthcare Systems: A Critical Review ...

M.Shanmuga Sundari et al., International Journal of Emerging Trends in Engineering Research, 8(9), September 2020, 5197 – 5208 5197 Process Mining in …