@inproceedings{26d0057a3893406198b7ca3a9ddf1f9e,
title = "Overlapping analytic stages in online process mining",
abstract = "Process mining uses business event logs to understand the flow of activities, to identify anomalous cases and to enhance processes. Today, real-time process mining tools mainly deal with a single task at a time (process discovery, conformance checking, process enhancement or concept change detection). In this paper, we introduce an underlined layer overlapping with multiple online process mining tasks to smooth their integration. Following a case clustering approach, based on trace and time analysis, our proposal supports simultaneously?: process discovery, conformance checking, and concept drift detection. We evaluated our approach and compared it with other techniques using both real-life and synthetic data, obtaining promising results.",
keywords = "Anomaly detection, Clustering, Concept Drift, Process Mining, Stream Mining",
author = "Tavares, {Gabriel Marques} and Paolo Ceravolo and {Da Costa}, {Victor G.Turrisi} and Ernesto Damiani and Junior, {Sylvio Barbon}",
note = "Funding Information: The authors would like to thank the financial support of Coordination for the National Council for Scientific and Technological Development (CNPq) of Brazil-Grant of Project 420562/2018-4. Funding Information: The authors would like to thank the financial support of Coordination for the National Council for Scientific and Technological Development (CNPq) of Brazil - Grant of Project 420562/2018-4. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Services Computing, SCC 2019 ; Conference date: 08-07-2019 Through 13-07-2019",
year = "2019",
month = jul,
doi = "10.1109/SCC.2019.00037",
language = "British English",
series = "Proceedings - 2019 IEEE International Conference on Services Computing, SCC 2019 - Part of the 2019 IEEE World Congress on Services",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "167--175",
editor = "Elisa Bertino and Chang, {Carl K.} and Peter Chen and Ernesto Damiani and Ernesto Damiani and Michael Goul and Katsunori Oyama",
booktitle = "Proceedings - 2019 IEEE International Conference on Services Computing, SCC 2019 - Part of the 2019 IEEE World Congress on Services",
address = "United States",
}