The analysis of event data is largely influenced by the effective characterization of descriptors. These descriptors serve as the building blocks of our understanding, encapsulating the behavior described within the event data. In light of these considerations, we introduce FEEED (Feature Extraction from Event Data), an extendable tool for event data feature extraction. FEEED represents a significant advancement in event data behavior analysis, offering a range of features to empower analysts and data scientists in their pursuit of insightful, actionable, and understandable event data analysis. What sets FEEED apart is its unique capacity to act as a bridge between the worlds of data mining and process mining. In doing so, it promises to enhance the accuracy, comprehensiveness, and utility of characterizing event data for a diverse range of applications.

FEEED: Feature Extraction from Event Data / A. Maldonado, G. MARQUES TAVARES, R.S. Oyamada, P. Ceravolo, A. Thomas Seidl (CEUR WORKSHOP PROCEEDINGS). - In: ICPM-D 2023 : ICPM Doctoral Consortium and Demo Track 2023 / [a cura di] J.M.E.M. van der Werf, C. Cabanillas, F. Leotta, L. Genga. - [s.l] : CEUR-WS.org, 2024 Jun 13. - pp. 1-5 (( convegno Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023) tenutosi a Roma nel 2023.

FEEED: Feature Extraction from Event Data

G. MARQUES TAVARES
;
R.S. Oyamada
;
P. Ceravolo
Penultimo
;
2024

Abstract

The analysis of event data is largely influenced by the effective characterization of descriptors. These descriptors serve as the building blocks of our understanding, encapsulating the behavior described within the event data. In light of these considerations, we introduce FEEED (Feature Extraction from Event Data), an extendable tool for event data feature extraction. FEEED represents a significant advancement in event data behavior analysis, offering a range of features to empower analysts and data scientists in their pursuit of insightful, actionable, and understandable event data analysis. What sets FEEED apart is its unique capacity to act as a bridge between the worlds of data mining and process mining. In doing so, it promises to enhance the accuracy, comprehensiveness, and utility of characterizing event data for a diverse range of applications.
Event data; Event log behavior; Feature extraction; Featurization
Settore INFO-01/A - Informatica
13-giu-2024
https://ceur-ws.org/Vol-3648/paper_6598.pdf
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1121146
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