A. J. M. M. Weijters - researchr alias

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Viewing Publication 1 - 29 from 29

2014

Process mining support for Capability Maturity Model Integration-based software process assessment, in principle and in practiceJana Samalikova, Rob J. Kusters, Jos J. M. Trienekens, A. J. M. M. Weijters. SMR, 26(7):714-728, 2014. [doi]

2011

Event Cube: Another Perspective on Business ProcessesJ. T. S. Ribeiro, A. J. M. M. Weijters. otm 2011: 274-283 [doi]

Flexible Heuristics Miner (FHM)A. J. M. M. Weijters, J. T. S. Ribeiro. cidm 2011: 310-317 [doi]

2009

2008

Quantifying process equivalence based on observed behaviorAna Karla Alves de Medeiros, Wil M. P. van der Aalst, A. J. M. M. Weijters. DKE, 64(1):55-74, 2008. [doi]

2007

Process Mining Based on Clustering: A Quest for PrecisionAna Karla Alves de Medeiros, Antonella Guzzo, Gianluigi Greco, Wil M. P. van der Aalst, A. J. M. M. Weijters, Boudewijn F. van Dongen, Domenico Saccà. BPM 2008: 17-29 [doi]

Genetic process mining: an experimental evaluationAna Karla A. de Medeiros, A. J. M. M. Weijters, Wil M. P. van der Aalst. datamine, 14(2):245-304, 2007. [doi]

The Need for a Process Mining Evaluation Framework in Research and PracticeAnne Rozinat, Ana Karla Alves de Medeiros, Christian W. Günther, A. J. M. M. Weijters, Wil M. P. van der Aalst. BPM 2008: 84-89 [doi]

ProM 4.0: Comprehensive Support for ::::Real:::: Process AnalysisWil M. P. van der Aalst, Boudewijn F. van Dongen, Christian W. Günther, R. S. Mans, Ana Karla Alves de Medeiros, Anne Rozinat, Vladimir Rubin, Minseok Song, H. M. W. (Eric) Verbeek, A. J. M. M. Weijters. apn 2007: 484-494 [doi]

Business process mining: An industrial applicationWil M. P. van der Aalst, Hajo A. Reijers, A. J. M. M. Weijters, Boudewijn F. van Dongen, Ana Karla Alves de Medeiros, Minseok Song, H. M. W. (Eric) Verbeek. is, 32(5):713-732, 2007. [doi]

2006

A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process LogsLaura Maruster, A. J. M. M. Weijters, Wil M. P. van der Aalst, Antal van den Bosch. datamine, 13(1):67-87, 2006. [doi]

Process Equivalence: Comparing Two Process Models Based on Observed BehaviorWil M. P. van der Aalst, Ana Karla A. de Medeiros, A. J. M. M. Weijters. BPM 2006: 129-144 [doi]

2005

2004

Process Mining for Ubiquitous Mobile Systems: An Overview and a Concrete AlgorithmAna Karla A. de Medeiros, Boudewijn F. van Dongen, Wil M. P. van der Aalst, A. J. M. M. Weijters. caise 2005: 151-165 [doi]

Process mining: a research agendaWil M. P. van der Aalst, A. J. M. M. Weijters. cii, 53(3):231-244, 2004. [doi]

2003

2002

Discovering Distributed Processes in Supply ChainsLaura Maruster, J. C. Wortmann, A. J. M. M. Weijters, Wil M. P. van der Aalst. ifip5-7 2003: 219-230

Process Mining: Discovering Direct Successors in Process LogsLaura Maruster, A. J. M. M. Weijters, Wil M. P. van der Aalst, Antal van den Bosch. dis 2002: 364-373 [doi]

1997

Behavioural Aspects of Combining Backpropagation Learning and Self-organizing MapsA. J. M. M. Weijters, Antal van den Bosch, H. Jaap van den Herik. connection, 9(3):235-252, 1997. [doi]

1995

Backpropagation Networks for Grapheme-Phoneme Conversion: a Non-Technical IntroductionA. J. M. M. Weijters, G. A. J. Hoppenbrouwers. ann 1995: 11-36

The BP-SOM architecture and learning ruleA. J. M. M. Weijters. npl, 2(6):13-16, 1995. [doi]

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