A review of business process mining: state‐of‐the‐art and future trends

作者: A. Tiwari , C.J. Turner , B. Majeed

DOI: 10.1108/14637150810849373

关键词:

摘要: … process mining, providing an overview of state‐of‐the‐art techniques. An outline of the main problems experienced in the practice of process mining is … to process‐mining problems. …

参考文章(47)
Rakesh Agrawal, Dimitrios Gunopulos, Frank Leymann, Mining Process Models from Workflow Logs extending database technology. pp. 469- 483 ,(1998) , 10.1007/BFB0101003
Markus Hammori, Joachim Herbst, Niko Kleiner, Interactive Workflow Mining business process management. pp. 211- 226 ,(2004) , 10.1007/978-3-540-25970-1_14
Mati Golani, Shlomit S. Pinter, Generating a process model from a process audit log business process management. pp. 136- 151 ,(2003) , 10.1007/3-540-44895-0_10
B. F. van Dongen, W. M. P. van der Aalst, Multi-phase Process Mining: Building Instance Graphs international conference on conceptual modeling. ,vol. 3288, pp. 362- 376 ,(2004) , 10.1007/978-3-540-30464-7_29
L Laura Maruster, van der Wmp Wil Aalst, Ajmm Ton Weijters, Workflow mining: which processes can be rediscovered? Technische Universiteit Eindhoven. ,vol. 74, ,(2002)
B. F. van Dongen, W. M. P. van der Aalst, H. M. W. Verbeek, Verification of EPCs: Using Reduction Rules and Petri Nets Notes on Numerical Fluid Mechanics and Multidisciplinary Design. pp. 372- 386 ,(2005) , 10.1007/11431855_26
AK Alves De Medeiros, Antonius Jozef Martha Maria Weijters, WMP Van Der Aalst, Using genetic algorithms to mine process models : representation, operators and results Technische Universiteit Eindhoven. ,vol. 124, ,(2004)
Robert Meersman, Tharam Dillon, Pilar Herrero, On the Move to Meaningful Internet Systems: Otm 2010 ,(2011)
A.J.M.M. Weijters, W.M.P van der Aalst, Rediscovering workflow models from event-based data using little thumb Computer-Aided Engineering. ,vol. 10, pp. 151- 162 ,(2003) , 10.3233/ICA-2003-10205
Kevin C. W. Chen, David Y. Y. Yun, Discovering Process Models from Execution History by Graph Matching intelligent data engineering and automated learning. pp. 887- 892 ,(2003) , 10.1007/978-3-540-45080-1_124