Communication Dans Un Congrès Année : 2019

Applying Process Mining to Support Management of Predictive Analytics/Data Mining Projects in a Decision Making Center

Résumé

A Decision Making Centers (DMC) Environment facilitates the understanding of complex problems and simplifies the decision making process of policy makers and stakeholders by playing out several what if scenarios. One of the key elements in this environment is the management of Predictive Analytics and Data Mining (PADM) techniques required for real-time and accurate representation of data in scenarios. However, there has been a gap in understanding the best practices that facilitate the execution of PADM in environments such as a DMC. In this paper we aim to address this gap. Specifically, we apply process mining techniques to reveal: 1) process flow and executed activities in PADM projects and 2) The relationship and time distribution of activities within a PADM project execution. To this end two successful projects were analyzed in order to find relationships among activities and time metrics during execution. The present study aims to support managers in the execution of large scale PADM projects.

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Dates et versions

hal-03002541 , version 1 (12-11-2020)

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Marlene Ofelia Sanchez Escobar, Rafael Lozano Espinosa, Jose Martin Molina Espinosa, Juana Julieta Noguez Monroy, Genoveva Vargas-Solar. Applying Process Mining to Support Management of Predictive Analytics/Data Mining Projects in a Decision Making Center. 2019 6th International Conference on Systems and Informatics (ICSAI), Nov 2019, Shanghai, China. pp.1527-1533, ⟨10.1109/ICSAI48974.2019.9010135⟩. ⟨hal-03002541⟩
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