Publications

This section includes some relevant publications in the area of process data quality. The articles cover such topics as "what kinds of quality issues affect process data?", "how do I find quality issues in process data?", "how do I measure data quality?", and "how do I fix quality issues in process data?".

What kinds of quality issues affect process data?

Suriadi, Suriadi and Andrews, Robert and ter Hofstede, Arthur HM and Wynn, Moe Thandar (2017) Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs. Information Systems 64:132-150.

How do I detect quality issues in process data?

Andrews, Robert Emamjome, Fahame, ter Hofstede, Arthur & Reijers, Hajo (2021) Root-cause analysis of process-data quality problems. Journal of Business Analytics. Taylor & Francis. https://doi.org/10.1080/2573234X.2021.1947751

Andrews, Robert, Emamjome, Fahame, ter Hofstede, Arthur, & Reijers, Hajo (2020) An expert lens on data quality in process mining. In van Dongen, Boudewijn, Montali, Marco, & Wynn, Moe Thandar (Eds.) Proceedings of the 2020 2nd International Conference on Process Mining, ICPM 2020. IEEE, United States of America, pp. 49-56.

Sadeghianasl, Sareh and ter Hofstede, Arthur HM and Suriadi, Suriadi and Turkay, Selen (2020) Collaborative and interactive detection and repair of activity labels in process event logs: in 2020 2nd International Conference on Process Mining (ICPM), IEEE. pp.41-48.

Sadeghianasl, Sareh and ter Hofstede, Arthur HM and Wynn, Moe T and Suriadi, Suriadi (2019) A contextual approach to detecting synonymous and polluted activity labels in process event logs: in OTM Confederated International Conferences "On the Move to Meaningful Internet Systems", Springer. pp.76-94.

Emamjome, Fahame, Andrews, Robert, ter Hofstede, Arthur, & Reijers, Hajo (2020) Alohomora: Unlocking data quality causes through event log context. In Proceedings of the 28th European Conference on Information Systems (ECIS2020). Association for Information Systems, United States of America, pp. 1-16.

Andrews, Robert and Suriadi, Suriadi and Ouyang, Chun and Poppe, Erik (2018) Towards event log querying for data quality: in OTM Confederated International Conferences "On the Move to Meaningful Internet Systems", Springer. pp.116-134.

Lu, Xixi and Fahland, Dirk and Andrews, Robert and Suriadi, Suriadi and Wynn, Moe T and ter Hofstede, Arthur HM and van der Aalst, Wil MP (2017) Semi-supervised log pattern detection and exploration using event concurrence and contextual information: in OTM Confederated International Conferences "On the Move to Meaningful Internet Systems", Springer. pp.154-174.

How do I measure process data quality?

Andrews, Robert and van Dun, Christopher GJ and Wynn, Moe Thandar and Kratsch, Wolfgang and Roglinger, MKE and ter Hofstede, Arthur HM (2020) Quality-informed semi-automated event log generation for process mining. Decision Support Systems 132:113265.

Fischer, Dominik Andreas and Goel, Kanika and Andrews, Robert and van Dun, Christopher Gerhard Johannes and Wynn, Moe Thandar and Roglinger, Maximilian (2020) Enhancing event log quality: Detecting and quantifying timestamp imperfections: in International Conference on Business Process Management (BPM), Springer. pp.309-326.

How do I fix quality issues in process data?

Sadehianasl, Sareh and ter Hofstede, Arthur HM and Suriadi, Suriadi and Turkay, Selen (2020) Collaborative and interactive detection and repair of activity labels in process event logs: in 2020 2nd International Conference on Process Mining (ICPM), IEEE. pp.41-48.

Conforti, Raffaele and La Rosa, Marcello and Ter Hofstede, Arthur HM and Augusto, Adriano (2020) Automatic repair of same-timestamp errors in business process event logs: in International Conference on Business Process Management (BPM), Springer. pp.327-345.

Sadeghianasl, Sareh and ter Hofstede, Arthur HM and Wynn, Moe T and Suriadi, Suriadi (2019) A contextual approach to detecting synonymous and polluted activity labels in process event logs in: OTM Confederated International Conferences" On the Move to Meaningful Internet Systems", Springer. pp. 76-94.

Dixit, Prabhakar M and Suriadi, Suriadi and Andrews, Robert and Wynn, Moe T and ter Hofstede, Arthur HM and Buijs, Joos CAM and van der Aalst, Wil MP (2018) Detection and interactive repair of event ordering imperfection in process logs: in International Conference on Advanced Information Systems Engineering (CAISE), Springer. pp. 274-290.

Conforti, Raffaele and La Rosa, Marcello and Ter Hofstede, Arthur HM (2016) Filtering out infrequent behavior from business process event logs. IEEE Transactions on Knowledge and Data Engineering, 2:300-314.

How do I prepare logs to minimise quality issues?

Andrews, Robert Emamjome, Fahame, ter Hofstede, Arthur & Reijers, Hajo (2021) Root-cause analysis of process-data quality problems. Journal of Business Analytics. Taylor & Francis. https://doi.org/10.1080/2573234X.2021.1947751
Emamjome, Fahame, Andrews, Robert, ter Hofstede, Arthur, & Reijers, Hajo (2020) Signpost - a semiotics-based process mining methodology. In Proceedings of the 28th European Conference on Information Systems (ECIS2020). Association for Information Systems, United States of America, pp. 1-10.

Andrews, Robert, Wynn, Moe, Vallmuur, Kirsten, ter Hofstede, Arthur, Bosley, Emma, Elcock, Mark, et al. (2019) Leveraging data quality to better prepare for process mining: An approach illustrated through analysing road trauma pre-hospital retrieval and transport processes in Queensland. International Journal of Environmental Research and Public Health, 16(7), Article number: 1138 1-25.

Emamjome, Fahame, Andrews, Robert, & ter Hofstede, Arthur (2019) A case study lens on process mining in practice. In Panetto, Hervé, Debruyne, Christophe, Lewis, Dave, Hepp, Martin, Ardagna, Claudio Agostino, & Meersman, Robert (Eds.) On the Move to Meaningful Internet Systems: OTM 2019 Conferences: Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Proceedings (Lecture Notes in Computer Science, Volume 11877). Springer, Switzerland, pp. 127-145.