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Robert Andrews
Tytuł
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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
16091995
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
5701998
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
2252017
Rule extraction from a constrained error back propagation MLP
R Andrews, S Geva
Australian Conference on Neural Networks, Brisbane, Queensland, 9-12, 1994
851994
Rule extraction from local cluster neural nets
R Andrews, S Geva
Neurocomputing 47 (1-4), 1-20, 2002
582002
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
542020
Inserting and extracting knowledge from constrained error back-propagation networks.
R Andrews
Proceedings of the 6th Australian Conference on Neural Networks, 1995
541995
RULEX & CEBP Networks as the Basis for a Rule Refinement System
R Andrews, S Geva
Hybrid problems, hybrid solutions 27, 1, 1995
491995
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
422019
Process mining for healthcare: Characteristics and challenges
Journal of Biomedical Informatics 127, 103994, 2022
412022
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
352019
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
352018
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
331998
Rules and local function networks
R Andrews, S Geva
Proceedings of the Workshop on Rule Extraction From Trained Artificial …, 1996
311996
Rule extraction from trained artificial neural networks
R Andrews
Neural network analysis, architectures and algorithms, 61-99, 1997
281997
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
261999
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
261996
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
232018
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
212018
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
212017
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