A markov prediction model for data-driven semi-structured business processes

Knowledge and Information Systems

Volumn 42, Issue 1, 2015, Pages 97-126

  Lakshmanan, Geetika T ^a   Shamsi, Davood ^b   Doganata, Yurdaer N ^a   Unuvar, Merve ^a   Khalaf, Rania ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b Stanford University   (United States)

Author keywords

Business process; Data driven; Decision tree; Markov chain; Prediction

Indexed keywords

DECISION TREES; FORECASTING; INSURANCE; PREDICTIVE ANALYTICS; TREES (MATHEMATICS);

ACCURATE PREDICTION; AUTOMOBILE INSURANCE; BUSINESS PROCESS; CONDITIONAL PROBABILITIES; DATA DRIVEN; PARALLEL EXECUTIONS; PROBABILISTIC PROCESS; TRANSITION PROBABILITIES;

MARKOV CHAINS;

EID: 84958044063     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-013-0697-8     Document Type: Article

References (38)

1. Cook JE, Wolf AL (1998) Discovering models of software processes from event-based data. ACM Trans Softw Eng Method 7(3):215–249
2. Critical Capabilities for Composite Content Management Applications. Gartner, report. (2010)
3. Curbera F, Doganata YD, Martens A, Mukhi N, Slominski A (2008) Business provenance—a technology to increase traceability of end-to-end operations. OTM conferences, 1, pp 100–119
4. Datta A (1998) Automating the discovery of AS-IS business process models: probabilistic and algorithmic approaches. Inf Syst Res 9(3):275–301
5. Feller W (1957) An introduction to probability theory and its applications, vol 1. Wiley, New York, ISBN 0-471-25708-7
6. Grienstead CM, Snell L (1991) Introduction to probability. American Mathematical Society. ISBN 0-8218-0749-8
7. Grigori D, Casati F, Castellanos M, Dayal U, Sayal M, Shan M (2004) Business process intelligence. Comput Ind 53(3):321–343
8. Herbst J (2000) A machine learning approach to workflow management. ECML, pp 183–194
9. Herbst J, Karagiannis D (1998) Integrating machine learning and workflow management to support acquisition and adaption of workflow models. DEXA, workshop, pp 745–752
10. Hillier FS, Lieberman GJ (1986) Introduction to operations research, 4th edn. Holden-Day Inc., San Francisco, CA, USA
11. IBM Insurance Application Architecture. http://www-03.ibm.com/industries/insurance/us/detail/solution/P669447B27619A15.html?tab=3
12. Jensen K (1997) Coloured petri nets. Basic concepts, analysis methods and practical use. vol 3, practical use. Monographs in theoretical computer science, Springer, Berlin. ISBN:3-540-62867-3
13. Lakshmanan GT, Duan S, Keyser PT, Khalaf R, Curbera F (2010) A heuristic approach for making predictions for semi-structured case oriented business processes. Business process management workshops, pp 640–651
14. Lakshmanan GT, Khalaf R (2012) Leveraging process mining techniques to analyze semi-structured processes, IEEE IT Professional, to appear. http://doi.ieeecomputersociety.org/10.1109/MITP.2012.88
15. Liu S, Duffy AHB, Whitfield RI, Boyle IM (2010) Integration of decision support systems to improve decision support performance. Knowl Inf Syst 22(3):261–286
16. Murata T (1989) Petri nets: properties, analysis and applications. In: Proceedings of the IEEE, vol 77, no. 4
17. Natarajan S, Tadepalli P, Fern A (2011) A relational hierarchical model of decision-theoretic assistance. Knowl Inf Syst (KAIS):1–21
18. Paz JF, Bajo J, Gonzlez A, Rodrguez S, Corchado JM (2012) Combining case-based reasoning systems and support vector regression to evaluate the atmosphere-ocean interaction. Knowl Inf Syst 30(1):155–177
19. Pfeffer A (2005) Functional specification of probabilistic process models. AAAI, pp. 663–669
20. Poh KL (2000) An intelligent decision support system for investment analysis. Knowl Inf Syst, pp 340–358
21. Quinlan JR (1993) C4.5: programs for machine learning. Morgan Kaufman
22. Ross S (2003) Introduction to probability models, 8th edn, Chap. 4
23. Rozinat A, Wynn MT, van der Aalst WMP, ter Hofstede AHM, Fidge CJ (2009) Workflow simulation for operational decision support. Data Knowl Eng 68(9):834–850
24. Rozinat A, van der Aalst WMP (2006) Decision mining in ProM. Bus Process Manag:420–425
25. Rozsnyai S, Slominski A, Lakshmanan GT (2011) Discovering event correlation rules for semi-structured business processes. In: Proceedings of the 5th ACM international conference on Distributed event-based system, ACM, New York, pp 75–86
26. Schonenberg H, Weber B, van Dongen BF, van der Aalst WMP (2008) Supporting flexible processes through recommendations based on history. BPM:51–66
27. Taylor HM, Karlin S (1998) An introduction to stochastic modeling, 3rd edn, Chap. 3–4
28. van der Aalst WMP (2011) Process mining—discovery, conformance and enhancement of business processes. Springer, Berlin, pp I–XVI, 1–352
29. van der Aalst WMP, Reijers HA, Weijters AJMM, van Dongen BF, Alves de Medeiros AK, Song M et al. (2007) Business process mining: an industrial application. Inf Syst 32(5):713–732
30. van der Aalst WMP, Schonenberg MH, Song M (2011) Time prediction based on process mining. Inf Syst 36(2):450–475
31. van der Aalst WMP, van Dongen BF, Gnther CW, Rozinat A, Verbeek E, Weijters T (2009) ProM: the process mining toolkit. BPM (Demos)
32. van der Aalst WMP, van Dongen BF, Herbst J, Maruster L, Schimm G, Weijters AJMM et al (2003) Workflow mining: a survey of issues and approaches. Data Knowl Eng 47(2):237–267
33. van der Aalst WMP, Weske M, Grünbauer D (2005) Case handling: a new paradigm for business process support. KDE 53(2):129–162
34. van Dongen BF, Crooy RA, van der Aalst WMP (2008) Cycle time prediction: when will this case finally be finished? OTM conferences, 1, pp 319–336
35. Vanderfeesten ITP, Reijers HA, van der Aalst WMP (2011) Product-based workflow support. Inf Syst 36(2):517–535
36. Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, Burlington
37. Zenie A (1985) Coloured stochastic petri nets. In: Proceedings of the international workshop on timed petri nets, IEEE Computer Society Press, Torino, pp 262–271
38. Zhu WD, Becker B, Boudreaux J, Baman S, Gomez D, Marin M, Vaughan A (2000) Advanced case management with IBM case manager, IBM redbooks. http://www.redbooks.ibm.com/abstracts/sg247929.html?Open