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 | 1719 | 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 | 589 | 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 | 295 | 2017 |
Process mining for healthcare: Characteristics and challenges Journal of Biomedical Informatics 127, 103994, 2022 | 198 | 2022 |
Rule extraction from a constrained error back propagation MLP R Andrews, S Geva Australian Conference on Neural Networks, Brisbane, Queensland, 9-12, 1994 | 86 | 1994 |
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 | 82 | 2020 |
Rule extraction from local cluster neural nets R Andrews, S Geva Neurocomputing 47 (1-4), 1-20, 2002 | 61 | 2002 |
RULEX & CEBP Networks as the Basis for a Rule Refinement System R Andrews, S Geva Hybrid problems, hybrid solutions 27, 1, 1995 | 55 | 1995 |
Inserting and extracting knowledge from constrained error back-propagation networks. R Andrews Proceedings of the 6th Australian Conference on Neural Networks, 1995 | 54 | 1995 |
A case study lens on process mining in practice F Emamjome, R Andrews, AHM ter Hofstede On the Move to Meaningful Internet Systems: OTM 2019 Conferences …, 2019 | 53 | 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 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 | 52 | 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, ... Advanced Information Systems Engineering: 30th International Conference …, 2018 | 49 | 2018 |
Towards event log querying for data quality: Let’s start with detecting log imperfections R Andrews, S Suriadi, C Ouyang, E Poppe On the Move to Meaningful Internet Systems. OTM 2018 Conferences …, 2018 | 36 | 2018 |
Enhancing event log quality: Detecting and quantifying timestamp imperfections DA Fischer, K Goel, R Andrews, CGJ van Dun, MT Wynn, M Röglinger Business Process Management: 18th International Conference, BPM 2020 …, 2020 | 35 | 2020 |
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 Hybrid neural systems, 226-239, 2000 | 34 | 2000 |
Rules and local function networks R Andrews, S Geva Proceedings of the Workshop on Rule Extraction From Trained Artificial …, 1996 | 29 | 1996 |
Rule extraction from trained artificial neural networks AB Tickle Neural network analysis, architectures and applications, 61-99, 1997 | 28 | 1997 |
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 | 28 | 1996 |
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: Digital Innovation and Business …, 2018 | 27 | 2018 |
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 | 27 | 1999 |