Abstract
In large and complex organizations, the development of workflow automation projects is hard. In some cases, a first important step in that direction is the automation of the routing of incoming documents. In this paper, we describe a project to develop a system for the first routing of incoming letters to the right department within a large, public portuguese institution. We followed a data mining approach, where data representing previous routings were analyzed to obtain a model that can be used to route future documents. The approach followed was strongly influenced by some of the limitations imposed by the customer: the budget available was small and the solution should be developed in SQL to facilitate integration with the existing system. The system developed was able to obtain satisfactory results. However, as in any Data Mining project, most of the effort was dedicated to activities other than modelling (e.g., data preparation), which means that there is still plenty of room for improvement.
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References
Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R.: CRISP-DM 1.0: Step-by-Step Data Mining Guide. In: SPSS (2000)
Chawla, N.V., Japkowicz, N., Kotcz, A.: Editorial: special issue on learning from imbalanced data sets. SIGKDD Explor. Newsl. 6(1), 1–6 (2004)
Cheng, I., Srinivasan, S., Boyette, N.: Exploiting XML technologies for intelligent document routing. In: DocEng 2005: Proceedings of the 2005 ACM Symposium on Document Engineering, pp. 26–28. ACM, New York (2005)
Frawley, W.J., Piatetsky-Shapiro, G., Matheus, C.J.: Knowledge discovery in databases: an overview. AI Mag. 13(3), 57–70 (1992)
Krishna, V., Deshpande, P.M., Srinivasan, S.: Towards smarter documents. In: CIKM 2004: Proceedings of the Thirteenth ACM International Conference on Information and Knowledge Management, pp. 634–641. ACM, New York (2004)
Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. 34(1), 1–47 (2002)
Stohr, E.A., Zhao, J.L.: Workflow automation: Overview and research issues. Information Systems Frontiers 3(3), 281–296 (2001)
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Soares, C., Calejo, M. (2010). Intelligent Document Routing as a First Step towards Workflow Automation: A Case Study Implemented in SQL. In: Margaria, T., Steffen, B. (eds) Leveraging Applications of Formal Methods, Verification, and Validation. ISoLA 2010. Lecture Notes in Computer Science, vol 6415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16558-0_24
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DOI: https://doi.org/10.1007/978-3-642-16558-0_24
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