Robert Andrews

According to our database, Robert Andrews authored at least 30 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Comparing Conformance Checking for Decision Mining: An Axiomatic Approach.

Adam Banham, Arthur H. M. ter Hofstede, Sander J. J. Leemans, Felix Mannhardt, Robert Andrews, Moe Thandar Wynn

IEEE Access, 2024

2023

Process-Data Quality: The True Frontier of Process Mining.

Arthur H. M. ter Hofstede, Agnes Koschmider, Andrea Marrella, Robert Andrews, Dominik Andreas Fischer, Sareh Sadeghianasl, Moe Thandar Wynn, Marco Comuzzi, Jochen De Weerdt, Kanika Goel, Niels Martin, Pnina Soffer

ACM J. Data Inf. Qual., September, 2023

Revealing the Root Causes of Digital Health Data Quality Issues: A Qualitative Investigation of the Odigos Framework.

Rebekah Eden, Rehan Syed, Tendai Makasi, Robert Andrews, Arthur H. M. ter Hofstede, Moe Wynn, Raelene Donovan, Robert Eley, Andrew Staib

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital.

Kanika Goel, Sareh Sadeghianasl, Robert Andrews, Arthur H. M. ter Hofstede, Moe Wynn, Dakshi Kapugama Geeganage, Sander J. J. Leemans, James M. McGree, Rebekah Eden, Andrew Staib, Rob Eley, Raelene Donovan

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Process mining for healthcare: Characteristics and challenges.

Jorge Munoz-Gama, Niels Martin, Carlos Fernández-Llatas, Owen A. Johnson, Marcos Sepúlveda, Emmanuel Helm, Victor Galvez-Yanjari, Eric Rojas, Antonio Martinez-Millana, Davide Aloini, Ilaria Angela Amantea, Robert Andrews, Michael Arias, Iris Beerepoot, Elisabetta Benevento, Andrea Burattin, Daniel Capurro, Josep Carmona, Marco Comuzzi, Benjamin Dalmas, Rene de la Fuente, Chiara Di Francescomarino, Claudio Di Ciccio, Roberto Gatta, Chiara Ghidini, Fernanda Gonzalez-Lopez, Gema Ibáñez-Sánchez, Hilda B. Klasky, Angelina Prima Kurniati, Xixi Lu, Felix Mannhardt, Ronny Mans, Mar Marcos, Renata Medeiros de Carvalho, Marco Pegoraro, Simon K. Poon, Luise Pufahl, Hajo A. Reijers, Simon Remy, Stefanie Rinderle-Ma, Lucia Sacchi, Fernando Seoane, Minseok Song, Alessandro Stefanini, Emilio Sulis, Arthur H. M. ter Hofstede, Pieter J. Toussaint, Vicente Traver, Zoe Valero-Ramon, Inge van de Weerd, Wil M. P. van der Aalst, Rob J. B. Vanwersch, Mathias Weske, Moe Thandar Wynn, Francesca Zerbato

J. Biomed. Informatics, 2022

Process data analytics for hospital case-mix planning.

Robert Andrews, Kanika Goel, Paul Corry, Robert L. Burdett, Moe Thandar Wynn, Donna Callow

J. Biomed. Informatics, 2022

Towards interactive event log forensics: Detecting and quantifying timestamp imperfections.

Dominik Andreas Fischer, Kanika Goel, Robert Andrews, Christopher G. J. van Dun, Moe Thandar Wynn, Maximilian Röglinger

Inf. Syst., 2022

xPM: Enhancing exogenous data visibility.

Adam Banham, Sander J. J. Leemans, Moe Thandar Wynn, Robert Andrews, Kevin B. Laupland, Lucy Shinners

Artif. Intell. Medicine, 2022

2021

Extracting Best-Practice Using Mixed-Methods.

Erik Poppe, Anastasiia Pika, Moe Thandar Wynn, Rebekah Eden, Robert Andrews, Arthur H. M. ter Hofstede

Bus. Inf. Syst. Eng., 2021

xPM: A Framework for Process Mining with Exogenous Data.

Adam Banham, Sander J. J. Leemans, Moe Thandar Wynn, Robert Andrews

Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

2020

Quality-informed semi-automated event log generation for process mining.

Robert Andrews, Christopher G. J. van Dun, Moe Thandar Wynn, Wolfgang Kratsch, Maximilian Röglinger, Arthur H. M. ter Hofstede

Decis. Support Syst., 2020

An Expert Lens on Data Quality in Process Mining.

Robert Andrews, Fahame Emamjome, Arthur H. M. ter Hofstede, Hajo A. Reijers

Proceedings of the 2nd International Conference on Process Mining, 2020

Signpost - a Semiotics-based Process Mining Methodology.

Fahame Emamjome, Robert Andrews, Arthur H. M. ter Hofstede, Hajo A. Reijers

Proceedings of the 28th European Conference on Information Systems, 2020

Alohomora: Unlocking Data Quality Causes Through Event Log Context.

Fahame Emamjome, Robert Andrews, Arthur H. M. ter Hofstede, Hajo A. Reijers

Proceedings of the 28th European Conference on Information Systems, 2020

Enhancing Event Log Quality: Detecting and Quantifying Timestamp Imperfections.

Dominik Andreas Fischer, Kanika Goel, Robert Andrews, Christopher G. J. van Dun, Moe Thandar Wynn, Maximilian Röglinger

Proceedings of the Business Process Management - 18th International Conference, 2020

2019

A Case Study Lens on Process Mining in Practice.

Fahame Emamjome, Robert Andrews, Arthur H. M. ter Hofstede

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Conferences, 2019

Grounding Process Data Analytics in Domain Knowledge: A Mixed-Method Approach to Identifying Best Practice.

Moe Thandar Wynn, Suriadi Suriadi, Rebekah Eden, Erik Poppe, Anastasiia Pika, Robert Andrews, Arthur H. M. ter Hofstede

Proceedings of the Business Process Management Forum, 2019

2018

Towards Event Log Querying for Data Quality - Let's Start with Detecting Log Imperfections.

Robert Andrews, Suriadi Suriadi, Chun Ouyang, Erik Poppe

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2018 Conferences, 2018

Detection and Interactive Repair of Event Ordering Imperfection in Process Logs.

Prabhakar M. Dixit, Suriadi Suriadi, Robert Andrews, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Joos C. A. M. Buijs, Wil M. P. van der Aalst

Proceedings of the Advanced Information Systems Engineering, 2018

Pre-hospital Retrieval and Transport of Road Trauma Patients in Queensland - A Process Mining Analysis.

Robert Andrews, Moe Thandar Wynn, Kirsten Vallmuur, Arthur H. M. ter Hofstede, Emma Bosley, Mark Elcock, Stephen Rashford

Proceedings of the Business Process Management Workshops, 2018

Exposing Impediments to Insurance Claims Processing.

Robert Andrews, Moe Wynn, Arthur H. M. ter Hofstede, Jingxin Xu, Kylie Horton, Paul Taylor, Sue Plunkett-Cole

Proceedings of the Business Process Management Cases, 2018

Improving Patient Flows at St. Andrew's War Memorial Hospital's Emergency Department Through Process Mining.

Robert Andrews, Suriadi Suriadi, Moe Wynn, Arthur H. M. ter Hofstede, Sean Rothwell

Proceedings of the Business Process Management Cases, 2018

2017

Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs.

Suriadi Suriadi, Robert Andrews, Arthur H. M. ter Hofstede, Moe Thandar Wynn

Inf. Syst., 2017

Shelf Time Analysis in CTP Insurance Claims Processing.

Robert Andrews, Moe Thandar Wynn

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Semi-supervised Log Pattern Detection and Exploration Using Event Concurrence and Contextual Information.

Xixi Lu, Dirk Fahland, Robert Andrews, Suriadi Suriadi, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

2002

Rule extraction from local cluster neural nets.

Robert Andrews, Shlomo Geva

Neurocomputing, 2002

1998

The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks.

Alan B. Tickle, Robert Andrews, Mostefa Golea, Joachim Diederich

IEEE Trans. Neural Networks, 1998

Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks.

Alan B. Tickle, Frédéric Maire, Guido Bologna, Robert Andrews, Joachim Diederich

Proceedings of the Hybrid Neural Systems, 1998

1997

Refining Expert Knowledge with an Artificial Neural Network.

Robert Andrews, Shlomo Geva

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1995

Survey and critique of techniques for extracting rules from trained artificial neural networks.

Robert Andrews, Joachim Diederich, Alan B. Tickle

Knowl. Based Syst., 1995