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 …

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 …

Application of data mining techniques to the World Wide Web, referred to as Web mining,
has been the focus of several recent research projects and papers. However, there is no …

With almost everything now online, organizations look at the Big Data collected to gain
insights for improving their services. In the analytics process, derivation of such insights …

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 …

Data mining on large data warehouses is becoming increasingly important. In support of this
trend, we consider a spectrum of architectural alternatives for coupling mining with database …

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 …

The tremendous number of rules generated in the mining process makes it necessary for
any good data mining system to provide for powerful query primitives to post-process the …

Web-based organizations often generate and collect large volumes of data in their daily
operations. Analyzing such data can help these organizations to determine the life time …

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 …