Databases for Interval ProbabilitiesInternational Journal of Intelligent Systems
AbstractWe present a database framework for the efficient storage and manipulation of interval probability distributions and their associated information. Although work on interval probabilities and on probabilistic databases has appeared before, ours is the first to combine these into a coherent and mathematically sound framework including both standard relational queries and queries based on probability theory. In particular, our query algebra allows users not only to query existing interval probability distributions, but also to construct new ones by means of conditionalization and marginalization, as well as other more common database operations.
Citation InformationWenzhong Zhao, Alex Dekhtyar and Judy Goldsmith. "Databases for Interval Probabilities" International Journal of Intelligent Systems Vol. 19 Iss. 9 (2004) p. 789 - 815
Available at: http://works.bepress.com/dekhtyar/15/