A Bayesian Framework for Modification of Uncertain Data in Probabilistic Multidimensional Data Model

Abstract

Probabilistic Multidimensional Data Models capture the uncertainty that pervades the real world using probabilistic measures. The data representing the real world is subject to change. In this paper, we propose a Bayesian framework and an algorithm to update the probabilistic multidimensional data.