Abstract
A new data model is proposed using a traditional accounting approach to model an organization’s transactional data and extending this model to include not only financial information but also internal business process, learning and growth, and customer perspectives. It provides an organization with a single data model that supports both transactional and data warehousing needs. The model has a very small footprint and uses replication tables for data mining purposes. The model is generic so that changes in information requirements of the application do not imply the need to change the model itself. Implementations of the model can provide a uniform report generation environment for standard reports as well as OLAP and data mining activities. Implementations can include data used in query optimization strategies for applications such as association rule mining.
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References
Agrawal, R., Imielinski, T., and Swami, A.: Mining Association Rules between Sets of Items in Large Databases. In: Proc. ACM SIGMOD Washington DC Conference, May 1993, 207–216.
Agrawal, R. and Srikant, R.: Fast Algorithms for Mining Association Rules. In: Proc. 20th Int’l Conf. on Very Large Data Bases, September 1994, 487–499.
Bunge, M.: Semantics I: Sense and Reference. D. Reidel Publishing Company Boston, 1974.
Bunge, M.: Ontology I: The Furniture of the World. D. Reidel Publishing Company, Boston, 1977.
Chen, P. P.: The Entity-Relationship Model: toward a Unified view of data. ACM Trans. on Database Systems, Vol. 1,1, 1976, 9–36.
Denna, E. L., Cherrington, J.O., Andros, D.P., Hollander, A. S.: Event-Driven Business Solution. Business One Irwin, Homewood, IL, 1993.
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: Knowledge Discovery and Data Mining: Towards a Unifying Framework. In: Proceedings of Second International Conference on Knowledge Discovery and Data Mining, AAAI Press, 1996.
Kaplan, Robert S., Norton, David P.: The Balanced Scorecard. vard University Press, Boston 1996.
Kaplan, Robert S., Norton, David P.: The Strategy-Focused Organization: How balanced Scorecard Companies Thrive in the New Business Environment. vard University Press, Boston 2000.
Kimball, Ralph: A Dimensional Modeling Manifesto. DBMS, vol. 10, no. 9, 1997, 58–72.
Page, Christopher: Configuring Database Systems. In: Proceedings of the Twelfth Systems Administration Conference. Boston, 1998.
Horngren, Charles T., Harrison Jr., Walter T., Smith Bamber, Linda, Robinson, Michael A.: Accounting. 5/e. Prentice Hall, New York, 2002.
Berry, M. J.A., Linoff, G.S.: Mastering Data Mining. Wiley, New York, 2000.
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Pletch, A., Tsai, Cy., Matula, C. (2002). The Account Data Model. In: Spaccapietra, S., March, S.T., Kambayashi, Y. (eds) Conceptual Modeling — ER 2002. ER 2002. Lecture Notes in Computer Science, vol 2503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45816-6_28
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DOI: https://doi.org/10.1007/3-540-45816-6_28
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