R. Andrews

发表

Exposing Impediments to Insurance Claims Processing

Arthur H. M. ter Hofstede, Robert Andrews, Paul Taylor, 2018, Business Process Management Cases.

RULEX & CEBP Networks As the Basis for a Rule Refinement System

S. Geva, R. Andrews, 1995 .

Clinical applications of artificial neural networks: A review of techniques for extracting rules from trained artificial neural networks

Alan Tickle, Joachim Diederich, Robert Andrews, 2001 .

Bulletin of the Global Volcanism Network

R. Andrews, R. Wunderman, N. Brown, 2014 .

xPM: Enhancing exogenous data visibility

S. Leemans, M. Wynn, R. Andrews, 2022, Artif. Intell. Medicine.

Trauma by‐pass guideline: A data‐driven conformance analysis for road trauma cases in Queensland

A. T. Ter Hofstede, M. Wynn, R. Andrews, 2021, Emergency medicine Australasia : EMA.

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

Erik Poppe, Chun Ouyang, Suriadi Suriadi, 2018, OTM Conferences.

An automated rule refinement system

Robert Andrews, R. Andrews, 2003 .

Enhancing Event Log Quality: Detecting and Quantifying Timestamp Imperfections

C.G.J. van Dun, D. A. Fischer, K. Goel, 2020, BPM.

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

Moe Thandar Wynn, Arthur H. M. ter Hofstede, Suriadi Suriadi, 2017, Inf. Syst..

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

Joachim Diederich, Robert Andrews, Mostefa Golea, 1998, IEEE Trans. Neural Networks.

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

Joachim Diederich, Robert Andrews, Alan B. Tickle, 1995, Knowl. Based Syst..

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

Guido Bologna, Frédéric Maire, Joachim Diederich, 1998, Hybrid Neural Systems.

Extracting Best-Practice Using Mixed-Methods

A. Hofstede, M. Wynn, R. Andrews, 2021, Business & Information Systems Engineering.

Digital Health Data Quality Issues: Systematic Review

Trina S. Myers, S. Leemans, A. T. Ter Hofstede, 2023, Journal of medical Internet research.

A Case Study Lens on Process Mining in Practice

Arthur H. M. ter Hofstede, Fahame Emamjome, Fahame F. Emamjome, 2019, OTM Conferences.

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

Moe Thandar Wynn, Arthur H. M. ter Hofstede, Robert Andrews, 2018, Business Process Management Workshops.

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

Arthur H. M. ter Hofstede, Suriadi Suriadi, Robert Andrews, 2018, Business Process Management Cases.

Root-cause analysis of process-data quality problems

Hajo A. Reijers, Robert Andrews, Fahame F. Emamjome, 2021, Journal of Business Analytics.

Towards interactive event log forensics: Detecting and quantifying timestamp imperfections

Christopher G. J. van Dun, M. Wynn, R. Andrews, 2022, Inf. Syst..

A Comparative Process Mining Analysis of Road Trauma Patient Pathways

Robert Andrews, Kirsten Vallmuur, Moe T Wynn, 2020, International journal of environmental research and public health.

Process-Data Quality: The True Frontier of Process Mining

A. Hofstede, P. Soffer, A. Koschmider, 2023, Journal of Data and Information Quality.

Leveraging Data Quality to Better Prepare for Process Mining: An Approach Illustrated Through Analysing Road Trauma Pre-Hospital Retrieval and Transport Processes in Queensland

Robert Andrews, Kirsten Vallmuur, Moe T Wynn, 2019, International journal of environmental research and public health.

Detection and Interactive Repair of Event Ordering Imperfection in Process Logs

Moe Thandar Wynn, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede, 2018, CAiSE.

Process data analytics for hospital case-mix planning

M. Wynn, R. Andrews, P. Corry, 2022, J. Biomed. Informatics.

Alohomora: Unlocking Data Quality Causes Through Event Log Context

Hajo A. Reijers, Arthur H. M. ter Hofstede, Fahame Emamjome, 2020, ECIS.

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

Moe Thandar Wynn, Maximilian Röglinger, A.H.M. ter Hofstede, 2020, Decis. Support Syst..

Signpost - a Semiotics-based Process Mining Methodology

Hajo A. Reijers, Arthur H. M. ter Hofstede, Fahame Emamjome, 2020, ECIS.

Rule extraction from local cluster neural nets

Shlomo Geva, Robert Andrews, S. Geva, 2002, Neurocomputing.