A new model for probabilistic databases, using interval-valued conditional probability assessments, is proposed. The concept of coherence adopted in our approach is based on a suitable generalization of the coherence principle of de Finetti and can be related to similar definitions given for lower and upper probabilities by other authors. A corresponding probabilistic relational algebra is introduced and some new oper- ators are defined. Finally, some simple examples are given
In this paper we present an overview of mathematical models for handling partial entailments and the...
Probabilistic databases are commonly known in the form of the tuple-independent model, where the val...
Probabilistic databases are motivated by a large and diverse set of applications that need to query ...
A new model for probabilistic databases, using interval-valued conditional probability assessments, ...
In today’s uncertain world, imprecision in probabilistic information is often specified by probabili...
ABSTRACT OF DISSERTATION Probabilistic Databases and Their Applications Probabilistic reasoning in d...
One of the core problems in soft computing is dealing with uncertainty in data. In this paper, we re...
Abstract. This paper describes the theoretical framework and implementation of a database management...
We discuss, compare and relate some old and some new models for incomplete and probabilistic databas...
We discuss, compare and relate some old and some new models for incomplete and probabilistic databas...
We study a probabilistic logic based on the coherence principle of de Finetti and a related notion o...
International audienceThis paper deals with the modeling and querying of a database containing uncer...
We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail...
In this paper we consider interval-valued conditional probability assessments on finite families of ...
There are several formalisms that enhance Bayesian networks by including relations amongst individua...
In this paper we present an overview of mathematical models for handling partial entailments and the...
Probabilistic databases are commonly known in the form of the tuple-independent model, where the val...
Probabilistic databases are motivated by a large and diverse set of applications that need to query ...
A new model for probabilistic databases, using interval-valued conditional probability assessments, ...
In today’s uncertain world, imprecision in probabilistic information is often specified by probabili...
ABSTRACT OF DISSERTATION Probabilistic Databases and Their Applications Probabilistic reasoning in d...
One of the core problems in soft computing is dealing with uncertainty in data. In this paper, we re...
Abstract. This paper describes the theoretical framework and implementation of a database management...
We discuss, compare and relate some old and some new models for incomplete and probabilistic databas...
We discuss, compare and relate some old and some new models for incomplete and probabilistic databas...
We study a probabilistic logic based on the coherence principle of de Finetti and a related notion o...
International audienceThis paper deals with the modeling and querying of a database containing uncer...
We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail...
In this paper we consider interval-valued conditional probability assessments on finite families of ...
There are several formalisms that enhance Bayesian networks by including relations amongst individua...
In this paper we present an overview of mathematical models for handling partial entailments and the...
Probabilistic databases are commonly known in the form of the tuple-independent model, where the val...
Probabilistic databases are motivated by a large and diverse set of applications that need to query ...