Data mining has its origins in conventional artificial intelligence, machine learning, statistics, and database technologies, so it has much of its terminology and concepts derived from these ...

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 ...

Data mining is a process that turns large volumes of raw data into actionable intelligence. Data mining uses statistics and artificial intelligence to look for trends and anomalies in data. It's used ...

This concentration prepares students to utilize collected data to make predictions and discern in them patterns of objects being observed. Statistical analyses, along with forecasting and data mining ...

This online data science specialization is intended for both data science professionals and domain experts who want to learn about fundamental concepts and core techniques in data mining for ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

It is expected that students seeking enrollment in this program will have sufficient foundational skills and aptitude in computer programming, statistical analysis, information systems, and databases.

Data mining software used by both US intelligence agencies and large corporations just got an upgrade. Franklin, Tenn.-based Digital Reasoning — a cognitive computing developer that has contracts with ...

This article, an excerpt from Java Data Mining: Strategy, Standard, and Practice by Mark F. Hornick, Erik Marcade, Sunil Venkayala (Morgan Kaufman, 2007), introduces data mining concepts for those new ...