Abstract
The probabilistic OLAP model has been presented in this paper. It permits uncertain knowledge to be represented in data warehouse systems. There are two types of uncertainty that can be expressed in this model: imprecise facts and uncertain facts. The former are facts that have occurred but their characteristics are not certain. The latter are facts whose occurrences are uncertain. Typical OLAP algebra operators (set operators, restriction, projection etc.) are included in this model.
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References
Moole, B.R.: A Probabilistic Multidimensional Data Model and Algebra for OLAP in Decision Support Systems. In: IEEE Southeast Con., pp. 18–30. IEEE Computer Society Press, Los Alamitos (2003)
Codd, E.F.: Providing OLAP to user-analysts: An IT mandate. E.F. Codd and Associates (1993)
Datta, A., Thomas, H.: The cube data model: a conceptual model and algebra for on-line analytical processing in data warehouses. Decision Support Systems 27(3), 289–301 (1999)
Pedersen, T.B., Jensen, C.S., Dyreson, C.E.: Supporting Imprecision in Multidimensional Databases Using Granularities. In: 11th International Conference on Scientific on Scientific and Statistical Database Management, pp. 90–101. IEEE Computer Society, Los Alamitos (1999)
Burdick, D., Deshpande, P.M., Jayram, T.S., Ramakrishnan, R., Vaithyanathan, S.: OLAP over uncertain and imprecise data. The VLDB Journal 16(1), 123–144 (2007)
Delgado, M., Molina, C., Sanchez, D., Vila, A., Rodriguez-Ariza, L.: Fuzzy multidimensional model for supporting imprecision in OLAP. In: Fuzzy Systems, pp. 1331–1336. IEEE Computer Society, Los Alamitos (2004)
Timko, I., Dyreson, C.E., Pedersen, T.B.: Probability Distributions as Pre-Aggregated Data in Data Warehouses. Technical Report (2005), http://www.cs.aau.dk/DBTR
Dey, D., Sarkar, S.: A probabilistic relational model and algebra. ACM Trans. Database Systems 4(4), 397–434 (1996)
Pittarelli, M.: An Algebra for Probabilistic Databases. IEEE Transactions on Knowledge and Data Engineering 6(2), 293–303 (1994)
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Kiewra, M. (2008). Representation of Uncertain Knowledge in Probabilistic OLAP Model. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_12
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DOI: https://doi.org/10.1007/978-3-540-85565-1_12
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