Process mining: making knowledge discovery process centric

By Wil M.P. van der Aalst. SKDD, 2012

1,876 citations recorded by the source corpus.

Subfields: Information Systems, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d3bfb87bd91df4886d9324033540336b51bb01d2

How researchers see this paper

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

In Information Systems

1. Wil M.P. van der Aalst
2. Minseok Song
3. Bernd Weber
4. Manfred Reichert
5. Diogo R. Ferreira
6. Boudewijn van Dongen
7. Joos A. C. M. Buijs
8. Dirk Fahland

In Management Information Systems

1. Wil M.P. van der Aalst
2. Bernd Weber
3. Minseok Song
4. Manfred Reichert
5. Boudewijn van Dongen
6. Diogo R. Ferreira
7. Joos A. C. M. Buijs
8. Marlon Dumas

In Management Science and Operations Research

1. Bernd Weber
2. Manfred Reichert
3. Boudewijn van Dongen
4. Joos A. C. M. Buijs
5. Wil M.P. van der Aalst
6. A. Weijters
7. João Gama
8. Marlon Dumas

Citations in the corpus

• Conformance Checking Using Cost-Based Fitness Analysis (2011, background): “Process models can be obsolete, outdated, idealized, or simply disconnected from reality [15].”
• A survey on concept drift adaptation (2014, background): “Thus, in Process Mining6 [van der Aalst 2012; 2011], the area of research dealing with the different kinds of analysis of (business) processes by extracting information from event logs recorded by an information system, handling concept drift has been recognized as an important problem [Carmona and…”
• On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery (2012, methodology): “A class of process discovery algorithms that strongly focusses on simplicity is the class of α-algorithms [3, 11, 20], derived from the original α algorithm [5].”
• Process Mining Manifesto (2011, background): “: BPM 2011 Workshops, Part I, LNBIP 99, Springer-Verlag, pp. 169–194, 2012.”
• Enabling Flexibility in Process-Aware Information Systems (2012, methodology): “When faced by traditional process mining algorithms, these properties typically lead to overly precise and Spaghetti-like models [6].”
• Digital Innovation Management: Reinventing Innovation Management Research in a Digital World (2017, background): “Another form of computational social sciences has been referred to as process mining (Pentland et al. 2010; van der Aalst 2011).”
• Data Mining-driven Manufacturing Process Optimization (2012, background): “In general, our work can be seen as an application of process mining [26] to manufacturing.”