On APIs for probabilistic databases

نویسندگان

  • Lyublena Antova
  • Christoph Koch
چکیده

We study database application programming interfaces for uncertain and probabilistic databases and present a programming model that is independent of representation details. Conceptually, we use the possible worlds semantics, and programs are independently evaluated in each world. We study a class of programs that appear to the user as if they are running in a single world rather than on a set of possible worlds. We present an algorithm for efficiently verifying this property. We discuss how updates can be implemented in uncertain database management systems, and propose techniques for optimizing database programs.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis

Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...

متن کامل

A Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis

Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...

متن کامل

Embedded Systems Programming: Accessing Databases from Esterel

A current limitation in embedded controller design and programming is the lack of database support in development tools such as Esterel Studio. This article proposes a way of integrating databases and Esterel by providing two application programming interfaces (APIs) which enable the use of relational databases inside Esterel programs. As databases and Esterel programs are often executed on dif...

متن کامل

An Overview on Querying and Learning in Temporal Probabilistic Databases

Probabilistic databases store, query and manage large amounts of uncertain information in an efficient way. This paper summarizes my thesis which advances the state-of-the-art in probabilistic databases in three different ways: First, we present a closed and complete data model for temporal probabilistic databases. Queries are posed via temporal deduction rules which induce lineage formulas cap...

متن کامل

Normal Forms and Normalization for Probabilistic Databases under Sharp Constraints

The data deluge is defined by increasing amounts of large data with increasing degree of uncertainty. In a recent response, probabilistic databases are receiving a great deal of interest from research and industry. One popular approach to probabilistic databases is to extend traditional relational database technology to handle uncertainty. In this approach probabilistic databases are probabilit...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008