Abstract
Decision activities are frequently responsible for a major part of a process’s duration and resource consumption. The automation of these activities hence holds the promise of significant cost and time savings, however, only if the decision quality does not suffer. To achieve this, it is required to consider data from diverse sources that go beyond the process audit log, which is why approaches relying solely on it are likely to yield sub-optimal results. We therefore present in this paper an approach to process decision automation that incorporates data integration techniques, enabling significant improvements in decision quality.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aumüller, D., Do, H.H., Massmann, S., Rahm, E.: Schema and ontology matching with COMA++. In: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data (2005)
Casati, F., Castellanos, M., Dayal, U., Salazar, N.: A generic solution for warehousing business process data. In: Proceedings of the 33rd International Conference on Very Large Data Bases, pp. 1128–1137 (2007)
Castellanos, M., Casati, F., Dayal, U., Shan, M.C.: A comprehensive and automated approach to intelligent business processes execution analysis. Distributed and Parallel Databases 16(3), 239–273 (2004)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern classification. Wiley Interscience, Hoboken (2000)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: An update. ACM SIGKDD Explorations Newsletter 11(1), 10–18 (2009)
Han, J., Kamber, M.: Data mining: concepts and techniques. Morgan Kaufmann, San Francisco (2006)
Leyman, F., Roller, D.: Production Workflow. Prentice-Hall, Englewood Cliffs (2000)
Liu, X., Bowyer, K.W., Hall, L.O.: Decision trees work better than feed-forward back-prop neural nets for a specific class of problems. In: 2004 IEEE International Conference on Systems, Man and Cybernetics, vol. 6, pp. 5969–5974. IEEE, Los Alamitos (2005)
Niedermann, F., Radeschütz, S., Mitschang, B.: Deep business optimization: A platform for automated process optimization. In: Proceedings of the 3rd International Conference on Business Process and Services Computing (2010)
Niedermann, F., Radeschütz, S., Mitschang, B.: Design-time process optimization through optimization patterns and process model matching. In: Proceedings of the 12th IEEE Conference on Commerce and Enterprise Computing (2010)
Niedermann, F., Radeschüz, S., Mitschang, B.: Business process optimization using formalized patterns. In: Proceedings BIS 2011 (2011)
Radeschütz, S., Mitschang, B.: Extended analysis techniques for a comprehensive business process optimization. In: Proceedings KMIS (2009)
Radeschütz, S., Niedermann, F., Bischoff, W.: Biaeditor - matching process and operational data for a business impact analysis. In: Proceedings EDBT (2010)
Reijers, H.A., Mansar, S.L.: Best practices in business process redesign: an overview and qualitative evaluation of successful redesign heuristics. Omega 33(4), 283–306 (2005)
Rozinat, A., van der Aalst, W.M.P.: Decision mining in proM. In: Dustdar, S., Fiadeiro, J.L., Sheth, A.P. (eds.) BPM 2006. LNCS, vol. 4102, pp. 420–425. Springer, Heidelberg (2006)
Rozinat, A., van der Aalst, W.M.P.: Decision mining in business processes (2006)
Thomas, L.C.: A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers. International Journal of Forecasting 16(2), 149–172 (2000)
Wiener, N.: Cybernetics: Control and communication in the animal and the machine. MIT Press, Cambridge (1948)
zur Mühlen, M.: Workflow-based process controlling: foundation, design, and application of workflow-driven process information systems. Logos Verlag (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Niedermann, F., Maier, B., Radeschütz, S., Schwarz, H., Mitschang, B. (2011). Automated Process Decision Making Based on Integrated Source Data. In: Abramowicz, W. (eds) Business Information Systems. BIS 2011. Lecture Notes in Business Information Processing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21863-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-21863-7_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21829-3
Online ISBN: 978-3-642-21863-7
eBook Packages: Computer ScienceComputer Science (R0)