Data mining, sometimes called knowledge discovery, is the process of sifting large volumes of data for correlations, patterns, and trends.

Effective data mining techniques are essential to using data for competitive advantage.

Data mining isn’t just techno-speak for messing around with a lot of data. Data mining doesn’t give you supernatural powers, either. Data mining is a specific way to use specific kinds of math ...

Data stream classification and concept drift detection are essential components in the realm of real-time data analytics. As data streams continuously flow from sources such as sensors, financial ...

Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete ...

This article, an excerpt from “Java Data Mining: Strategy, Standard, and Practice” (Morgan Kaufman, 2007) explores data mining concepts in financial services by using a business problem faced ...

Discover how data mining uncovers patterns in big data to boost marketing, sales, fraud detection, and more using advanced techniques.