In this article we present ConQueSt, a constraint based querying system able to support the intrinsically exploratory (i.e., human-guided, interactive, iterative) nature of pattern discovery. Following the inductive database vision, our framework provides users with an expressive constraint based query language, which allows the discovery process to be effectively driven toward potentially inte...

In the current study we investigate the two-stage iterative method for solving linear systems. Our new results shows which splitting generates convergence fast in iterative methods. Finally, we solve the Poisson-Block tridiagonal matrix from Poisson's equation which arises in mechanical engineering and theoretical physics. Numerical computations are presented based on a particular linear system...

in this paper a mathematical simulation of a simplified internal combustion engine is presented. to contribute engine kinematics and its geometry, simple relations are derived for constrained motions. the equation of motion for the piston forms a singular boundary value problem. the uniqueness of the solution was studied in the banach space. for solving governing equations an iterative numerica...

This paper presents a novel system for Incremental Association Rules Mining from Medical Documents (IARMMD). The system concerns with maintenance of the discovered association rules and avoids redoing the mining process on whole documents during the updating process. The design of the system is based on concepts representation. It designed to develop our previous D-EART system. The IARMMD impro...

Clustering is one of the major data mining applications. An obvious characteristic of data mining distinguished from traditional data processing is that the conclusion of data mining cannot be predicted. Data mining is a multi-step process, and user must be allowed to be the front and the center in this process, especially clustering mining method. In this paper, the necessity of interactive da...

Recently, there are many privacy and security issues in data mining. A considerable research has focused on developing new data mining algorithms that incorporate privacy constraints. Their is a conflict between privacy and data mining. As most types of data mining produce summary results that do not reveal information about individuals. But the process of data mining may use private data, lead...