Accessing Imprecise Data: An Approach Based on Intervals

In many real world applications (even in banking), imprecise data is a matter of fact. However, classic database management systems provide little if any help in the management of imprecise data. We are applying methods from interval arithmetic, epsilon serializability, and other related areas to help the application designers in the management of naturally imprecise data. Our approach includes operators on imprecise data that give bounds on the result imprecision and algorithms that constrain the imprecision propagation in the database.