Abstract
This paper studies the feasibility of using transfer learning for process-oriented case-based reasoning. The work introduces a novel approach to transfer workflow cases from a loosely related source domain to a target domain. The idea is to develop a representation mapper based on workflow generalization, workflow abstraction, and structural analogy between the domain vocabularies. The approach is illustrated by a pair of sample domains in two sub-fields of customer relationship management that have similar process objectives but different tasks and data to fulfill them. An experiment with expert ratings of transferred cases is conducted to test the feasibility of the approach with promising results for workflow modeling support.
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Notes
- 1.
The meaning of churn, according to the Cambridge English Dictionary, is: “If customers churn between different companies that provide a particular service, they change repeatedly from one to another.”.
- 2.
SESE regions of a workflow are either a single workflow task or a larger fragment enclosed by corresponding split and join connectors [26].
- 3.
http://help.sap.com, last visit May 14, 2016.
- 4.
https://rdatascientist.wordpress.com/2015/08/15/, last visit May 14, 2016.
References
Workflow Management Coalition Terminology and Glossary (Document No. WFMC-TC-1011) (1999)
Aha, D.W., Molineaux, M., Sukthankar, G.: Case-based reasoning in transfer learning. In: McGinty, L., Wilson, D.C. (eds.) ICCBR 2009. LNCS (LNAI), vol. 5650, pp. 29–44. Springer, Heidelberg (2009). doi:10.1007/978-3-642-02998-1_4
Bergmann, R., Wilke, W.: On the role of abstraction in case-based reasoning. In: Smith, I., Faltings, B. (eds.) EWCBR 1996. LNCS, vol. 1168, pp. 28–43. Springer, Heidelberg (1996). doi:10.1007/BFb0020600
Decker, G., Dijkman, R., Dumas, M., Garca-Bauelos, L.: The business process modeling notation. In: Hofstede, A.H.M., Aalst, W.M.P., Adams, M., Russell, N. (eds.) Modern Business Process Automation, pp. 347–368. Springer, Berlin (2009)
Dou, D., McDermott, D., Qi, P.: Ontology translation on the semantic web. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds.) OTM 2003. LNCS, vol. 2888, pp. 952–969. Springer, Heidelberg (2003). doi:10.1007/978-3-540-39964-3_60
Ehrig, M., Staab, S., Sure, Y.: Bootstrapping ontology alignment methods with APFEL. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 186–200. Springer, Heidelberg (2005). doi:10.1007/11574620_16
Falkenhainer, B., Forbus, K.D., Gentner, D.: The structure-mapping engine: algorithm and examples. Artif. Intell. 41(1), 1–63 (1989)
Gentner, D.: Structure-mapping: a theoretical framework for analogy. Cogn. Sci. 7(2), 155–170 (1983)
Hickfang, O., Jacobshagen, M., Ritzerfeld, H.: Phasen im leadmanagementprozess. Technical report, Bitkom, Bundesverband Informationswitschaft, Telekommunikationund neue Medien e.V. (BITKOM), Albrechtstrae 10, 10117 Berlin (2006). https://www.bitkom.org/Bitkom/Publikationen/Leitfaden-Phasen-im-Leadmangement-Prozess.html
Hidders, J., Dumas, M., van der Aalst, W.M.P., ter Hofstede, A.H.M., Verelst, J.: When are two workflows the same? In: Proceedings of the 2005 Australian Symposium on Theory of Computing, CATS 2005, vol. 41, pp. 3–11. Australian Computer Society Inc., Darlinghurst, Australia (2005)
Klenk, M., Aha, D.W., Molineaux, M.: The case for case-based transfer learning. AI Mag. 32(1), 54–69 (2011)
Klenk, M., Forbus, K.D.: Exploiting persistent mappings in cross-domain analogical learning of physical domains. Artif. Intell. 195, 398–417 (2013)
Könik, T., O’Rorke, P., Shapiro, D.G., Choi, D., Nejati, N., Langley, P.: Skill transfer through goal-driven representation mapping. Cogn. Syst. Res. 10(3), 270–285 (2009)
Kudenko, D.: Special issue on transfer learning. KI 28(1), 5–6 (2014)
Kuhlmann, G., Stone, P.: Graph-based domain mapping for transfer learning in general games. In: Kok, J.N., Koronacki, J., Mantaras, R.L., Matwin, S., Mladenič, D., Skowron, A. (eds.) ECML 2007. LNCS (LNAI), vol. 4701, pp. 188–200. Springer, Heidelberg (2007). doi:10.1007/978-3-540-74958-5_20
Minor, M., Montani, S., Recio-García, J.A.: Editorial: process-oriented case-based reasoning. Inf. Syst. 40, 103–105 (2014)
Montani, S., Leonardi, G., Quaglini, S., Cavallini, A., Micieli, G.: Mining and retrieving medical processes to assess the quality of care. In: Delany, S.J., Ontañón, S. (eds.) ICCBR 2013. LNCS (LNAI), vol. 7969, pp. 233–240. Springer, Heidelberg (2013). doi:10.1007/978-3-642-39056-2_17
Müller, G., Bergmann, R.: Workflow streams: a means for compositional adaptation in process-oriented case-based reasoning. In: Lamontagne, L., Plaza, E. (eds.) Case-Based Reasoning. Research and Development. LNCS, vol. 8766, pp. 315–329. Springer, Switzerland (2014)
Müller, G., Bergmann, R.: Generalization of workflows in process-oriented case-based reasoning. In: Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2015, pp. 391–396. AAAI Press. Hollywood (Florida), USA (2015)
Müller, G., Bergmann, R.: Learning and applying adaptation operators in process-oriented case-based reasoning. In: Hüllermeier, E., Minor, M. (eds.) ICCBR 2015. LNCS (LNAI), vol. 9343, pp. 259–274. Springer, Heidelberg (2015). doi:10.1007/978-3-319-24586-7_18
Noy, N.F.: Ontology Mapping. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. International Handbooks on Information Systems, pp. 573–590. Springer, Heidelberg (2009)
Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345–1359 (2010)
Perkins, D.N., Salomon, G., Press, P.: Transfer of learning. In: International Encyclopedia of Education, 2 edn. Pergamon Press (1992)
Polyvyanyy, A., Smirnov, S., Weske, M.: Business process model abstraction. In: Brocke, J., Rosemann, M. (eds.) Handbook on Business Process Management 1, Introduction, Methods, and Information Systems. International Handbooks on Information Systems, 2nd edn, pp. 147–165. Springer, Heidelberg (2015)
Ragni, M., Strube, G.: Cognitive complexity and analogies in transfer learning. KI 28(1), 39–43 (2014)
Reichert, M., Weber, B.: Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies. Springer, Heidelberg (2012)
Richter, M.M., Weber, R.O.: Case-Based Reasoning - A Textbook. Springer, Heidelberg (2013)
Schumacher, P.: Workflow extraction from textual process descriptions. Ph.D. thesis, Goethe University Frankfurt am Main (2015)
Taber, D.: Salesforce. Com Secrets of Success: Best Practices for Growth and Profitability. 2nd revised edn. Prentice Hall (2013)
Taylor, M.E., Stone, P.: Transfer learning for reinforcement learning domains: A survey. J. Mach. Learn. Res. 10, 1633–1685 (2009)
Tecklenburg, T.: Churn-Management im B2B-Kontext. Gabler, Wiesbaden (2008)
Thorndike, E.L., Woodworth, R.S.: The influence of improvement in one mental function upon the efficiency of other functions. (I). Psychol. Rev. 8(3), 247–261 (1901)
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Minor, M., Bergmann, R., Müller, JM., Spät, A. (2016). On the Transferability of Process-Oriented Cases. In: Goel, A., Díaz-Agudo, M., Roth-Berghofer, T. (eds) Case-Based Reasoning Research and Development. ICCBR 2016. Lecture Notes in Computer Science(), vol 9969. Springer, Cham. https://doi.org/10.1007/978-3-319-47096-2_19
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