Workflow mining: A survey of issues and approaches

By Wil M.P. van der Aalst, Boudewijn van Dongen, J. Herbst, Laura Maruster, G. Schimm, A. Weijters. Data & Knowledge Engineering, 2003

1,236 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/1e2ed11638e47de0f8bcab9f4d47486b92f3fc96

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Information Systems

In Management Information Systems

Citations in the corpus

Modeling Control Objectives for Business Process Compliance (2007, background): “Noteworthy in research literatur e is the synergy with process mining techniques [1] which provide the capability to disc over runtime process behavior (and deviations) and can thereby assist in detection of compliance violations.”
Conformance checking of processes based on monitoring real behavior (2008, background): “Conformance checking assumes the presence of a given descriptive or prescriptive process model, and therefore has a different starting point, but nevertheless it is closely related to typical process mining techniques [10, 9], which aim at the discovery of a process model based on some event log.”
Process mining: a two-step approach to balance between underfitting and overfitting (2008, background): “In [6] an overview is given of the early work in this domain.”
Business process mining: An industrial application (2007, methodology): “For more information on process mining we refer to a special issue of Computers in Industry on process mining [6] and a survey paper [5].”
Process mining with the HeuristicsMiner algorithm (2006, background): “WFM, ERP, CRM, SCM, and B2B systems), process mining has become a vivid research area [1, 2].”
XES, XESame, and ProM 6 (2010, background): “Process mining has emerged as a way to analyze systems (and their actual use) based on the event logs they produce [1,2,3,4,6,16].”
Business Process Management: A Survey (2003, neutral): “, extracting process models from logs [10].”
Introduction to the Special Issue with Best Papers from BPM 2008 Workshops (2010, neutral): “, Alpha algorithms, Multi-Phase mining, or Genetic Mining [29]).”
Process mining: a research agenda (2004, background): “For more information on existing research, we also refer to [5] for a survey.”
Process Mining (2005, background): “The idea of process mining is not new [7, 9–11, 17–19, 24, 25, 32, 33, 5, 36, 6].”
Decision Mining in ProM (2006, methodology): “Process discovery [2,3] can be used to automatically construct a process model reflecting the behavior that has been observed and recorded in the event log.”
Automated Discovery of Process Models from Event Logs: Review and Benchmark (2017, background): “Another previous survey in the field is outdated [55] and a more recent one is not intended to be comprehensive [56], but rather focuses on plugins available in the ProM toolset.”
Discovering Social Networks from Event Logs (2005, methodology): “For more information on process mining we refer to a special issue of Computers in Industry on process mining [5] and the survey paper [4].”