This work presents how persistent predicates have been included in the in-memory deductive system DES by relying on external SQL database management systems. We introduce how persistence is supported from a user-point of view and the possible applications the system opens up, as the deductive expressive power is projected to relational databases. Also, we describe how it is possible to intermix...

The main aim of this project is the development of an intelligent system for Data Mining (DM) with the following features: It must be able to response to the different environments that any user may propose. Specially, it have to deal with imprecise and uncertain data and requirements. It must be able to provide information about the ”quality” of the obtained knowledge, by giving alternative te...

Within the research area of deductive databases three different database tasks have been deeply investigated: query evaluation, update propagation and view updating. Over the last thirty years various inference mechanisms have been proposed for realizing these main functionalities of a rule-based system. However, these inference mechanisms have been rarely used in commercial DB systems until no...

We present the Orlog deductive object oriented database system prototype The implementation of the system relies on the idea of reducing inheritance to deduction and giving a relational interpretation to every Orlog database The prototype is a user transparent front end for coral deductive database system and provides a full edgedprogrammingenvironment in Orlog

The ROCK & ROLL database system cleanly integrates deductive and object-oriented capabilities by deening an imperative programming language , ROCK, and a declarative, deductive language, ROLL, over a common object-oriented (OO) data model. Existing techniques for evaluation and optimization of deductive languages fail to address key requirements imposed by ROLL such as: strict typing; placement...

car-following models, as the most popular microscopic traffic flow modeling, is increasingly being used by transportation experts to evaluate new intelligent transportation system (its) applications. a number of factors including individual differences of age, gender, and risk-taking behavior, have been found to influence car-following behavior. this paper presents a novel idea to calculate the...