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 ...

Data mining is a process that turns large volumes of raw data into actionable intelligence, and it's used by a wide variety ...

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 ...

DUBLIN--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/research/23d176/data_mining_for_bu) has announced the addition of the John Wiley and ...

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 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.

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.

*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.

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 ...