Mining information and knowledge from large databases has been recognized by many
researchers as a key research topic in database systems and machine learning, and by …

Many KDD systems incorporate an implicit or explicit preference for simpler models, but this
use of “Occam's razor” has been strongly criticized by several authors (eg, Schaffer, 1993; …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Data mining is the discovery of interesting, unexpected or valuable structures in large
datasets. As such, it has two rather different aspects. One of these concerns large …

In the last years there has been a huge growth and consolidation of the Data Mining field.
Some efforts are being done that seek the establishment of standards in the area. Included …

This paper proposes a novel approach named AGM to efficiently mine the association rules
among the frequently appearing sub-structures in a given graph data set. A graph …

Data visualization is by far the most commonly used mechanism to explore data, especially
by novice data analysts and data scientists. And yet, current visual analytics tools are rather …

Association rules, a class of important regularities in databases, have proven very useful in
practical applications, but association-rule-mining algorithms tend to produce huge numbers …

Abstract Knowledge discovery in databases and data mining aim at semiautomatic tools for
the analysis of large data sets. We consider some methods used in data mining …

In many e-commerce applications, ranging from dynamic Web content presentation, to
personalized ad targeting, to individual recommendations to the customers, it is important to …