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- W85227141 abstract "This thesis analyses problems related to the applicability, in business environments, of Process Mining tools and techniques.The first contribution is a presentation of the state of the art of Process Mining and a characterization of companies, in terms of their process awareness. The work continues identifying circumstance where problems can emerge: data preparation; actual mining; and results interpretation. Other problems are the configuration of parameters by not-expert users and computational complexity.We concentrate on two possible scenarios: and Process Mining.Concerning the batch Process Mining, we first investigated the data preparation problem and we proposed a solution for the identification of the case-ids whenever this field is not explicitly indicated.After that, we concentrated on problems at mining time and we propose the generalization of a well-known control-flow discovery algorithm in order to exploit non instantaneous events. The usage of interval-based recording leads to an important improvement of performance.Later on, we report our work on the parameters configuration for not-expert users. We present two approaches to select the best parameters configuration: one is completely autonomous; the other requires human interaction to navigate a hierarchy of candidate models.Concerning the data interpretation and results evaluation, we propose two metrics: a model-to-model and a model-to-log. Finally, we present an automatic approach for the extension of a control-flow model with social information, in order to simplify the analysis of these perspectives.The second part of this thesis deals with control-flow discovery algorithms in on-line settings. We propose a formal definition of the problem, and two baseline approaches. The actual mining algorithms proposed are two: the first is the adaptation, to the control-flow discovery problem, of a frequency counting algorithm; the second constitutes a framework of models which can be used for different kinds of streams (stationary versus evolving)." @default.
- W85227141 created "2016-06-24" @default.
- W85227141 creator A5077864256 @default.
- W85227141 date "2013-04-08" @default.
- W85227141 modified "2023-09-23" @default.
- W85227141 title "Applicability of Process Mining Techniques in Business Environments" @default.
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