Decision rules mining is an important technique in machine learning and data mining. It has
been studied intensively during the past few years. However, most existing algorithms are …

La informatización de los procesos ha provocado que empresas y organizaciones de todo
tipo hayan acumulado una cantidad ingente de datos. Esto nos ha llevado a denominar los …

Besides preprocessing, post-analysis also plays an important role in knowledge discovery. It
can effectively assist users to grasp the obtained knowledge. However, many of data mining …

As Enterprise Resource Planning (ERP) implementation has become more popular and
suitable for every business organization, it has become a essential factor for the success of a …

In the paper, the problem of extraction of complex decision rules in simple decision systems
over ontological graphs is considered. The extracted rules are consistent with the …

It is a difficult task to set rare association rules to handle unpredictable items since
approaches such as apriori algorithm and frequent pattern-growth, a single minimum …

In this paper, a rough set theory (RST) based approach is proposed to mine concise rules
from inconsistent data. The approach deals with inconsistent data. At first, it computes the …

DDoS attacks is upgrade of DoS attacks. Botnet is being used by DDoS attack, so it is able to
attack a millions of PCs at one time. DDoS attacks find the root the cause of the attack …

Purpose: The purpose of this research was to determine the influence of race and income on
the preferred payment instrument at pay points in a retail store in Pretoria Gauteng. Problem …

The scrap-and-build design culture (the culture favoring knocking down and re-building
buildings rather than remodeling, renovating, or re-using) has often been criticized in …