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Process Analytics Through Event Databases: Potentials for Visualizations and Process Mining

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Book cover Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems (ICDSST 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 282))

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Abstract

Events, routinely broadcasted by news media all over the world, are captured and get recorded to event databases in standardized formats. This wealth of information can be aggregated and get visualized with several ways, to result in alluring illustrations. However, existing aggregation techniques tend to consider that events are fragmentary, or that they are part of a strictly sequential chain. Nevertheless, events’ occurrences may appear with varying structures (i.e., others than sequence), reflecting elements of a larger, implicit process. In this work, we propose several transformation templates to a enable a process perspective for raw event data. The basic idea is to transform event databases into a format suitable for process mining (aka event log) to enable the rich toolbox of process mining tools. We present our approach through the illustrative example of the events that happened in Greece during the referendum period (summer 2015).

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Authors and Affiliations

  1. Eastern Macedonia and Thrace Institute of Technology, 65110, Kavala, Greece

    Pavlos Delias & Ioannis Kazanidis

Authors
  1. Pavlos Delias
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  2. Ioannis Kazanidis
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Correspondence to Pavlos Delias .

Editor information

Editors and Affiliations

  1. Department of Business Administration, University of Namur, Namur, Belgium

    Isabelle Linden

  2. Graduate School of Management, University of Plymouth, Plymouth, United Kingdom

    Shaofeng Liu

  3. Department of Business Administration, University of Namur, Namur, Belgium

    Christian Colot

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Delias, P., Kazanidis, I. (2017). Process Analytics Through Event Databases: Potentials for Visualizations and Process Mining. In: Linden, I., Liu, S., Colot, C. (eds) Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems. ICDSST 2017. Lecture Notes in Business Information Processing, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-319-57487-5_7

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