Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...

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 ...

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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Newer AI techniques and data mining, which traditionally use machine learning, together can ...

ACRL announces the publication of Text and Data Mining Literacy for Librarians, edited by Whitney Kramer, Iliana Burgos, and Evan Muzzall, demonstrating how academic libraries are supporting TDM ...

Doctors have developed a new data mining method to detect many young people with emerging psychosis. The new methods, based on advanced data mining to pick up early risk sign from schools, hospitals, ...

This course is compulsory on the MSc in Data Science. This course is available on the MPA in Data Science for Public Policy, MRes in Management (Marketing), MSc in Applied Social Data Science, MSc in ...

In the steel industry, especially alloy steel, creating different defected product can impose a high cost for steel producers. One common defect in producing low carbon steel grades is Pits & Blister ...