Effective data mining techniques are essential to using data for competitive advantage. Written by eWEEK content and product recommendations are editorially independent. We may make money when you ...

Regression. Predicting data values based on a set of variables. This type of data mining is often used to find relationships between data sets. ... Data mining examples Telecommunications and media.

Some common techniques in data mining include clustering, classification, association rule mining, and regression analysis. Examples of Data Mining Applications: ...

Throughout the course, students regularly use a widely used commercial data mining platform that also prepares them to pursue relevant certifications upon completing the course. Course topics include ...

Data mining, sometimes used synonymously with “knowledge discovery,” is the process of sifting large volumes of data for correlations, patterns, and trends. It is a subset of data science that ...

Regression: A common technique used to make predictions based on data. ... In fact, we're surrounded by real-world applications for data mining. Amazon, for example, ...

Data mining may still have a disproportionately negative effect on protected classes if the criteria that reliably predict some job-related quality also happen to correlate with class membership.