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Review

A systematic mapping study of process mining

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Pages 505-549 | Received 11 Sep 2016, Accepted 05 Nov 2017, Published online: 20 Nov 2017

References

  • Abonyí, J., B. Feil, and A. Abraham. 2005. “Computational Intelligence in Data Mining.” Informatica 29 (1): 3–12.
  • Alonso, G., F. Casati, H. Kuno, and V. Machiraju. 2004. Web Services: Concepts, Architectures and Applications. 1st ed. Berlin Heidelberg: Springer.
  • Alotaibi, Y., and F. Liu. 2017. “Survey of Business Process Management: Challenges and Solutions.” Enterprise Information Systems 11 (8): 1119–1153. doi:10.1080/17517575.2016.1161238.
  • Alves, V., N. Niu, C. Alves, and G. Valena. 2010. “Requirements Engineering for Software Product Lines: A Systematic Literature Review.” Information and Software Technology 52 (8): 806–820. doi:10.1016/j.infsof.2010.03.014.
  • Biolchini, J., P. G. Mian, A. C. C. Natali, and G. H. Travassos. 2005. “Systematic Review in Software Engineering.” Tech. Rep. RT-ES 679/05. Brazil: Federal Univ. of Rio de Janeiro.
  • Cao, L., ed. 2009. Data Mining and Multi-agent Integration. New York, NY: Springer US.
  • Chen, L., and M. A. Babar. 2011. “A Systematic Review of Evaluation of Variability Management Approaches in Software Product Lines.” Information and Software Technology53 (4): 344–362. doi:10.1016/j.infsof.2010.12.006.
  • Cook, D. J., and L. B. Holder, eds. 2006. Mining Graph Data. Hoboken, NJ: Wiley.
  • Cortez, P. 2010. “Data Mining with Neural Networks and Support Vector Machines Using the R/Rminer Tool*.” In Proc. Of the 10th Int. Conf. On Data Mining, ICDM, 572–583. Berlin, Germany: Springer.
  • Deza, M. M., and E. Deza. 2009. Encyclopedia of Distances. Berlin Heidelberg: Springer.
  • Dhillon, I. S., and D. S. Modha. 2001. “Concept Decompositions for Large Sparse Text Data Using Clustering.” Machine Learning 42 (1–2): 143–175. doi:10.1023/A:1007612920971.
  • Dou, D., H. Wang, and H. Liu. 2015. “Semantic Data Mining: A Survey of Ontology-Based Approaches.” In Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, 244–251. February.
  • Duda, R. O., and P. E. Hart. 1973. Pattern Classification and Scene Analysis. New York: John Willey & Sons.
  • Fantinato, M., I. M. S. Gimenes, and M. B. F. Toledo. 2010. “Product Line in the Business Process Management Domain.” In Applied Software Product Line Engineering, edited by K. Kang, V. Sugumaran, and S. Park, 497–530. Boston, MA: Auerbach Publications.
  • Fantinato, M., B. F. Maria, L. H. Toledo, I. M. Thom, S. Gimenes, R. S. Rocha, and D. Z. G. Garcia. 2012. “A Survey on Reuse in the Business Process Management Domain.” International Journal of Business Process Integration and Management 6 (1): 52–76. doi:10.1504/IJBPIM.2012.047913.
  • Fayyad, U., G. Piatetsky-Shapiro, and P. Smyth. 1996. “From Data Mining to Knowledge Discovery in Databases.” AI Magazine 17: 37–54.
  • Feldt, R., and A. Magazinius. 2010. “Validity Threats in Empirical Software Engineering Research - an Initial Survey.” In Proc. Of the 22nd Int. Conf. On Softw. Engin. And Knowl. Engin., SEKE 2010, 374–379. Redwood City, CA: Knowl. Sys. Inst. Grad. School.
  • Gartner Inc. 2015. “Hype Cycle Research Methodology.” http://www.gartner.com/technology/research/methodologies/hype-cycle.jsp.
  • Ghasemi, M., and D. Amyot. 2016. “Process Mining in Healthcare: A Systematised Literature Review.” International Journal of Electronic Healthcare 9 (1): 60–88. doi:10.1504/IJEH.2016.078745.
  • Giannotti, F., G. Manco, and J. Wijsen. 2004. Logical Languages for Data Mining, 325–361. Berlin, Heidelberg: Springer Berlin Heidelberg.
  • Han, J., M. Kamber, and J. Pei. 2011. Data Mining: Concepts and Techniques. 3rd ed. Waltham, MA: Morgan Kaufmann.
  • Haykin, S. 2009. Neural Networks and Learning Machines. 3rd ed. Upper Saddle River, NJ: Pearson Education.
  • IEEE CI MC. 2008. “Computational Intelligence (CI) Definition.” IEEE Computational Intelligence Society – Montreal Chapter. http://ewh.ieee.org/r7/montreal/cis/.
  • Jensen, C. T., I. Charters, J. Amsden, S. Darlington, M. Owen, E. Herness, and P. Irassar. 2008. “Leveraging SOA, BPM and EA for Strategic Business and IT Alignment.” IBM Business Process Management Journal, vol. 1: 10.1–10.28.
  • Jordan, D., J. Evdemon, A. Alves, A. Arkin, S. Askary, C. Barreto, B. Blochand et al. 2007. “Web Services Business Process Execution Language Version 2.0.” http://docs.oasis-open.org/wsbpel/2.0/OS/wsbpel-v2.0-OS.pdf.
  • Kitchenham, B. A. 2007. Guidelines for Performing Systematic Literature Reviews in Software Engineering. Technical Report EBSE-2007-01. Keele: Keele Univ.
  • Kolodner, J. 1993. Case-Based Reasoning. 1sted. San Mateo, CA: Morgan Kaufmann Series in Representation and Reasoning.
  • Kurniati, A. P., O. Johnson, D. Hogg, and G. Hall. 2016. “Process Mining in Oncology: A Literature Review.” In Proc. Of the 6th Int. Conf. On Information Communication and Management, ICICM 2016, 291–297. Hertfordshire, United Kingdom: IEEE Computer Society.
  • Lang, M., T. Bürkle, S. Laumann, and H.-U. Prokosch. 2008. “Process Mining for Clinical Workflows: Challenges and Current Limitations.” In Studies in Health Technology and Informatics (Proc. Of the MIE 2008). Vols 136229–234. Amsterdam, NL: IOS Press.
  • Leymann, F., D. Roller, and M.-T. Schmidt. 2002. “Web Services and Business Process Management.” IBM Systems Journal 41 (2): 198–211. doi:10.1147/sj.412.0198.
  • Lindsay, A., D. Downs, and K. Lunn. 2003. “Business Processes-Attempts to Find a Definition.” Information and Software Technology 45 (15): 1015–1019. doi:10.1016/S0950-5849(03)00129-0.
  • Maita, A. R. C., L. C. Martins, C. R. López Paz, S. M. Peres, and M. Fantinato. 2015. “Process Mining through Artificial Neural Networks and Support Vector Machines: A Systematic Literature Review.” Business Process Management Journal 21 (6): 1391–1415. doi:10.1108/BPMJ-02-2015-0017.
  • Michalewicz, Z., and D. B. Fogel. 2004. How to Solve It: Modern Heuristics. 2nd ed. Berlin Heidelberg: Springer Science and Business Media.
  • Mitchell, T. M. 1997. Machine Learning. 1st ed. New York, NY: McGraw Hill.
  • Nazem, S. M., and B. Shin. 2002. “Data Mining: New Arsenal for Strategic Decision-Making.” In Data Warehousing and Web Engineering, 103–112. Hershey, PA: IGI Global.
  • OMG (Object Management Group). 2011. “Business Process Model and Notation (BPMN) Version 2.0.” http://www.omg.org/spec/BPMN/2.0/PDF/.
  • Perry, D. E., A. A. Porter, and L. G. Votta. 2000. “Empirical Studies of Software Engineering: A Roadmap.” In Proc. Of the 22nd Int. Conf. On On Softw. Engin., Future of Softw. Engin. Track, ICSE 2000, 345–355. Limerick, Ireland: ACM Press.
  • Process Mining Group. 2015. “ProM Tools.” http://www.promtools.org/doku.php.
  • Rojas, E., J. Munoz-Gama, M. Seplveda, and D. Capurro. 2016. “Process Mining in Healthcare: A Literature Review.” Journal of Biomedical Informatics 61: 224–236. doi:10.1016/j.jbi.2016.04.007.
  • Russell, N., W. M. P. van der Aalst, A. H. M. ter Hofstede, and P. Wohed. 2006. “On the Suitability of UML 2.0 Activity Diagrams for Business Process Modelling.” In Proc. of the 3rd Asia-Pacific Conference on Conceptual Modelling, APCCM 2005. 95–104. Hobart, Tasmania, Australia: Australian Comp. Soc.
  • Russell, S. J., and P. Norvig. 2010. Artificial Intelligence: A Modern Approach. 3rd ed. Upper Saddle River, NJ: Pearson Education.
  • Salton, G., A. Wong, and C. S. Yang. 1975. “A Vector Space Model for Automatic Indexing.” Communications of ACM 18 (11): 613–620. doi:10.1145/361219.361220.
  • Singhal, A., G. Salton, M. Mitra, and C. Buckley. 1996. “Document Length Normalization.” Information Processing and Management 32 (5): 619–633. doi:10.1016/0306-4573(96)00008-8.
  • Stahl, F., and I. Jordanov. 2012. “An Overview of the Use of Neural Networks for Data Mining Tasks.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (3): 193–208.
  • Thamizharasan, R., and K. Appavoo. 2016. “A Review on Software Process Mining Using Petri Nets.” Asian Journal of Applied Sciences 9 (3): 131–142. doi:10.3923/ajaps.2016.131.142.
  • Tiwari, A., C. J. Turner, and B. Majeed. 2008. “A Review of Business Process Mining: State-Of-The-Art and Future Trends.” Business Process Management Journal 14: 5–22. doi:10.1108/14637150810849373.
  • Triantaphyllou, E. 2010. Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications. 1st ed. New York, NY: Springer Publishing Company, Incorporated.
  • Turney, P. D., and P. Pantel. 2010. “From Frequency to Meaning: Vector Space Models of Semantics.” Journal of Artificial Intelligence Research 37 (1): 141–188.
  • van der Aalst, W. M. 2011. Process Mining – Discovery, Conformance and Enhancement of Business Processes. 1st ed. Berlin Heidelberg: Springer.
  • van der Aalst, W. M. 2016. Process Mining – Data Science in Action. 1st ed. Berlin Heidelberg: Springer.
  • van der Aalst, W. M. P. 2013. “Business Process Management: A Comprehensive Survey.” ISRN Software Engineering 2013: 1–37. doi:10.1155/2013/507984.
  • van der aalst, W. M. P., A. H. M. ter Hofstede, and M. Weske. 2003. “Business Process Management: A Survey.” In Proc. Of the Int. Conf. On Bus. Proc. Manag., BPM 2003, 1–12. Eindhoven, The Netherlands: Springer.
  • van der Aalst, W. M. P., B. F. van dongen, J. Herbst, L. Maruster, G. Schimm, and A. J. M. M. Weijters. 2003. “Workflow Mining: A Survey of Issues and Approaches.” Data & Knowledge Engineering 47: 237–267. doi:10.1016/S0169-023X(03)00066-1.
  • van der Aalst, W. M. P., A. J. M. M. Weijters, and L. Maruster. 2003. “Workflow Mining: Discovering Process Models from Event Logs.” IEEE Transactions on Knowledge and Data Engineering 16: 1128–1142. doi:10.1109/TKDE.2004.47.
  • van der Aalst, W. M. P. 1998. “The Application of Petri Nets to Workflow Management.” Journal of Circuits, Systems and Computers 8 (1): 21–66. doi:10.1142/S0218126698000043.
  • van Dongen, B. F., A. K. A. Medeiros, and L. Wen. 2009. “Process Mining: Overview and Outlook of Petri Net Discovery Algorithms.” LNCS Transactions on Petri Nets and Other Models of Concurrency 5460: 225–242.
  • Wang, L., and x. Fu. 2005. Data Mining with Computational Intelligence. Berlin Heidelberg: Springer.
  • Wasserman, L. 2010. All of Statistics: A Concise Course in Statistical Inference. New York, NY: Springer Publishing Company, Incorporated.
  • Weske, M. 2012. Business Process Management: Concepts, Languages, Architectures. 2nd ed. Berlin: Springer.
  • Weske, M., W. M. P. van der Aalst, and H. M. W. Verbeek. 2004. “Advances in Business Process Management.” Data & Knowledge Engineering 50 (1): 1–8. doi:10.1016/j.datak.2004.01.001.
  • Wohlin, C., P. Runeson, M. Höst, M. C. Ohlsson, B. Regnell, and W. Anders. 2012. Experimentation in Software Engineering. 1st ed. Berlin Heidelberg: Springer.
  • Wrembel, R., and C. Koncilia. 2007. Data Warehouses and OLAP: Concepts, Architectures, and Solutions. Hershey, PA: Idea Group .
  • Wu, X., J. Vipin Kumar, R. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G. J. McLachlan, et al. 2007. “Top 10 Algorithms in Data Mining.” Knowledge and Information Systems 14 (1): 1–37. doi:10.1007/s10115-007-0114-2.
  • Yue, D., W. Xiaodan, H. Wang, and J. Bai. 2011. “A Review of Process Mining Algorithms.” In Proc. Of the Int. Conf. On Bus. Manag. And Elec. Inform. And of the Int. Conf. On Supernetworks and Sys. Manag., Vol. 5 Of BMEI and ICSSM, 181–185. Shanghai, China: IEEE Computer Society.
  • Zeimpekis, D., and E. Gallopoulos. 2005. TMG: A Matlab Toolbox for Genererating Term-Document Matrices from Text Collections. Tech. Rep. HPCLAB-SCG 1/01–05. Greece: University of Patras.
  • Zhang, M., and Z. Duan. 2008. “From Business Process Models to Web Services Orchestration: The Case of UML 2.0 Activity Diagram to BPEL.” In Proc. Of the 6th Int. Conf. On Service-Oriented Comp., ICSOC 2008, 505–510. Sydney, Australia: Springer.

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