The second step in data mining process is the application of various modeling techniques. These are used to calibrate the parameters to optimal values. Techniques employed largely depend on analytic ...

Traditionally, enterprise data has been kept in information silos that are physically separate from other data repositories and serve specialized functions. Enterprise-wide reporting was difficult at ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data mining is the umbrella term for the process of ...

This course Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to effectiveness and efficiency.

The updated 5th edition of the book Data Mining for Business Analytics from Galit Shmueli and collaborators and published by Wiley is a standard guide to data mining and analytics that adds two new co ...

With Google’s new Correlate system, companies have a powerful (and, free!) new data-mining tool on their hands. Let us imagine the ways in which we’ll use it. With Google’s new Correlate system, ...

Opinions expressed by Entrepreneur contributors are their own. Imagine working on several marketing campaigns on different profiles or social media websites, but it’s just not going the way you want ...

Data mining is a growing field of research at the nexus of computer science and statistics. With the advent of the Internet and remote sensing, the challenges of manipulating and learning from “big ...