Robert Andrews

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Moe Thandar Kyaw WynnProfessor, Queensland University of TechnologyVerified email at qut.edu.au
Arthur ter HofstedeQueensland University of TechnologyVerified email at qut.edu.au
Joachim DiederichUniversity of QueenslandVerified email at uq.edu.au
Suriadi SuriadiQueensland University of TechnologyVerified email at qut.edu.au
Kirsten Vallmuur (formerly McKenzie)queensland university of technologyVerified email at qut.edu.au
Emma BosleyDirector of Research, Queensland Ambulance ServiceVerified email at ambulance.qld.gov.au
Fahame EmamjomeQueensland University of TechnologyVerified email at qut.edu.au
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Hajo A. ReijersProfessor of Computer Science, Utrecht University || Eindhoven University of TechnologyVerified email at uu.nl
Kanika GoelQueensland University of TechnologyVerified email at qut.edu.au
Taizan ChanDirector of Research and Education Analytics, National University of SingaporeVerified email at nus.edu.sg
Erik PoppeResearch Fellow, Queensland University of TechnologyVerified email at qut.edu.au
Dirk FahlandAssociate Professor in Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
Xixi LuAssistant Professor at Utrecht UniversityVerified email at uu.nl
Anastasiia PikaProcess Mining ResearchVerified email at hdr.qut.edu.au
Maximilian RöglingerUniversity of Bayreuth; FIM Research Center Finance & Information Management; Fraunhofer FITVerified email at fim-rc.de
Dominik A. FischerUniversity of Bayreuth, Fraunhofer FIT, FIM Research CenterVerified email at fim-rc.de
Frederic MaireSenior Lecturer in Robotics, Queensland University of TechnologyVerified email at qut.edu.au
Prabhakar DixitPhD StudentVerified email at tue.nl
Michael RosemannQueensland University of TechnologyVerified email at qut.edu.au

Robert Andrews

Senior Research Fellow, Queensland University of Technology

Verified email at qut.edu.au

Process mining Data mining Data Quality Pattern recognition Machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Survey and critique of techniques for extracting rules from trained artificial neural networks R Andrews, J Diederich, AB Tickle Knowledge-based systems 8 (6), 373-389, 1995	1580	1995
The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks AB Tickle, R Andrews, M Golea, J Diederich IEEE Transactions on Neural Networks 9 (6), 1057-1068, 1998	559	1998
Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs S Suriadi, R Andrews, AHM ter Hofstede, MT Wynn Information systems 64, 132-150, 2017	213	2017
Rule extraction from a constrained error back propagation MLP R Andrews, S Geva Australian Conference on Neural Networks, Brisbane, Queensland, 9-12, 1994	84	1994
Rule extraction from local cluster neural nets R Andrews, S Geva Neurocomputing 47 (1-4), 1-20, 2002	58	2002
Inserting and extracting knowledge from constrained error back-propagation networks. R Andrews Proceedings of the 6th Australian Conference on Neural Networks, 1995	54	1995
RULEX & CEBP Networks as the Basis for a Rule Refinement System R Andrews, S Geva Hybrid problems, hybrid solutions 27, 1, 1995	48	1995
Quality-informed semi-automated event log generation for process mining R Andrews, CGJ van Dun, MT Wynn, W Kratsch, MKE Röglinger, ... Decision Support Systems 132, 113265, 2020	47	2020
Leveraging data quality to better prepare for process mining: an approach illustrated through analysing road trauma pre-hospital retrieval and transport processes in Queensland R Andrews, MT Wynn, K Vallmuur, AHM Ter Hofstede, E Bosley, M Elcock, ... International journal of environmental research and public health 16 (7), 1138, 2019	37	2019
Detection and interactive repair of event ordering imperfection in process logs PM Dixit, S Suriadi, R Andrews, MT Wynn, AHM ter Hofstede, JCAM Buijs, ... International Conference on Advanced Information Systems Engineering, 274-290, 2018	32	2018
Lessons from past, current issues, and future research directions in extracting the knowledge embedded in artificial neural networks AB Tickle, F Maire, G Bologna, R Andrews, J Diederich International Workshop on Hybrid Neural Systems, 226-239, 1998	32	1998
Rules and local function networks R Andrews, S Geva Proceedings of the Workshop on Rule Extraction From Trained Artificial …, 1996	30	1996
Rule extraction from trained artificial neural networks R Andrews Neural network analysis, architectures and algorithms, 61-99, 1997	28	1997
Lessons from the field: A reflection on teaching SAP R/3 and ERP implementation issues G Stewart, G Gable, R Andrews, M Rosemann, T Chan AMCIS 1999 Proceedings, 277, 1999	26	1999
An evaluation and comparison of techniques for extracting and refining rules from artificial neural networks R Andrews, R Cable, J Diederich, S Geva, M Golea, R Hayward, ... QUT NRC (February 1996), 1996	26	1996
A case study lens on process mining in practice F Emamjome, R Andrews, AHM ter Hofstede OTM Confederated International Conferences" On the Move to Meaningful …, 2019	25	2019
Towards event log querying for data quality R Andrews, S Suriadi, C Ouyang, E Poppe OTM Confederated International Conferences" On the Move to Meaningful …, 2018	22	2018
Improving patient flows at St. Andrew’s War Memorial Hospital’s emergency department through process mining R Andrews, S Suriadi, M Wynn, AHM ter Hofstede, S Rothwell Business process management cases, 311-333, 2018	21	2018
Semi-supervised log pattern detection and exploration using event concurrence and contextual information X Lu, D Fahland, R Andrews, S Suriadi, MT Wynn, AHM ter Hofstede, ... OTM Confederated International Conferences" On the Move to Meaningful …, 2017	20	2017
Process mining for healthcare: Characteristics and challenges Journal of Biomedical Informatics 127, 103994, 2022	15	2022

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