Databases for interval probabilities

International Journal of Intelligent Systems

Volumn 19, Issue 9, 2004, Pages 789-815

  Zhao, Wenzhong ^a   Dekhtyar, Alex ^a   Goldsmith, Judy ^a  

^a UNIVERSITY OF KENTUCKY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MANAGEMENT; FRAMEWORK; INTERVAL PROBABILITIES; SEMISTRUCTURED PROBABILISTIC DATABASE MANAGEMENT SYSTEM (SPDBMS);

ALGEBRA; COMPUTER SOFTWARE; DATA STORAGE EQUIPMENT; ERROR ANALYSIS; INFORMATION MANAGEMENT; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; PROGRAM INTERPRETERS; QUERY LANGUAGES; SEMANTICS; STATISTICS; XML;

DATABASE SYSTEMS;

EID: 4444368691     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.20025     Document Type: Article

References (25)

1. de Campos LMJ, Huete F, Moral S. Probability intervals: A tool for uncertain reasoning. Int J Uncert Fuzz 1994;2:167-196.
2. Walley P. Statistical Reasoning with Imprecise Probabilities. New York: Chapman and Hall; 1991.
3. Dekhtyar A, Goldsmith J. Conditionalization for Interval Probabilities. In: Kern-Isberner G, Rodder W, editors. Proc Workshop on Conditionals, Information, and Inference. Hagen, Germany: University of Hagen; 2002. pp 195-209.
4. Goldsmith J, Dekhtyar A, Zhao W. Can probabilistic databases help elect qualified officials? In: Russel I, Haller S, editors. Proc Florida AI Research Symposium. Menlo Park, CA: AAAI Press. pp 501-505.
5. Weichselberger K. The theory of interval-probability as a unifying concept for uncertainty. Int J Approx Reason 2000;24:149-170.
6. Biazzo V, Gilio A. A generalization of the fundamental theorem of de Finetti for imprecise conditional probability assessments. Int J Approx Reason 2000;24:251-272.
7. Biazzo V, Gilio A, Lukasiewicz T, Sanfilippo G, Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning. In: Benferhat S, Besnard P, editors. Lecture Notes on Computer Science, Vol. 2143. Heidelberg, Germany: Springer-Verlag; 2001. pp 290-302.
8. Cano A, Moral S. Using probability trees to compute marginals with imprecise probabilities. Technical report, DECSAI-00-02-14, Universidad de Granada, Escuela Técnica Superior de Ingenieria Informática; 2000.
9. Givan R, Leach S, Dean T. Bounded-parameter Markov decision processes. Artif Intell 2000;122:71-109.
10. Jaffray JY, Bayesian updating and belief functions. IEEE T Syst Man Cyb 1992; 22:1144-1152.
11. de Cooman G, Walley P, editors. The Imprecise Probabilistic Project, http:// ippserv.rug.ac.be, April 26, 1997.
12. Dekhtyar A, Goldsmith J, Hawkes SR. Semistructured probabilistic databases. In: Kerschberg L, Kafatos M, editors. Proc. SSDBM'2001. Los Alamitos, CA: IEEE Computer Society; 2001. pp 36-45.
13. Dekhtyar A, Ross R, Subrahmanian VS. Temporal probabilistic databases, I: Algebra. ACM T Database Syst 2001;26:41-95.
14. Zhao W, Dekhtyar A, Goldsmith J. Databases for interval probabilities. Tech Report TR386-03. Department of Computer Science, University of Kentucky, http://www.cs.uky.edu/ ~wzhao0/papers/TR386-03.pdf. 2003.
15. Zhao W, Dekhtyar A, Goldsmith J. Query algebra for interval probabilities. In: Marik V, Stepankova O, Retschitzegger W, editors. Proc 14th Int Conf on Database and Expert Systems Applications. Heidelberg, Germany: Springer-Verlag; 2003. pp 527-536.
16. Ramakrishnan R, Gehrke J. Database management systems, 2nd ed. New York: McGraw-Hill; 1999.
17. Dey D, Sarkar S. A probabilistic relational model and algebra. ACM T Database Syst 1996:21:339-369.
18. Lakshmanan VS, Leone N, ROSS R, Subrahmanian VS. ProbView: A flexible probabilistic database system. ACM T Database Syst 1997;22:419-469.
19. Kyburg H. Interval-valued probabilities, http://ippserv.rug.ac.be/documentation/ interval_prob/interval_prob.html, November 23, 1998. In: de Cooman G, Walley P, editors. The Imprecise Probabilities Project, http://ippserv.rug.ac.be/, April 26, 1997.
20. Cavallo R, Pittarelli M. The theory of probabilistic databases. In: Stocker PM, Kent W, Hammersley P, editors. Proc VLDB'87. San Francisco, CA: Morgan Kaufmann; 1987. pp 71-81.
21. Barbara D, Garcia-Molina H, Porter D. The management of probabilistic data. IEEE T Knowl Data Eng 1992;4:487-502.
22. Nierman A, Jagadish HV. ProTDB: Probabilistic data in XML. In: Bressan S, Chandhri AB, Lee M-L, editors. Proc 28th International VLDB Conference. San Francisco, CA: Morgan Kaufmann; 2002. pp 646-657.
23. Hung E, Getoor L, Subrahmanian VS. Probabilistic interval XML. In: Calvanese D, Lenzerini M, Motwani R, editors. Proc Int Conf on Database Theory; Heidelberg, Germany: Sprinber-Verlag; 2003. pp 361-377.
24. Zhao W, Dekhtyar A, Goldsmith J. A framework for management of semistructured probabilistic data. Tech Report TR385-03, Department of Computer Science, University of Kentucky. http://www.cs.uky.edu/~wzhao0/papers/TR385-03.pdf. 2003.
25. Dekhtyar A, Subrahmanian VS. Hybrid probabilistic logic programs. J Logic Program 2000;43:187-250.