Anomaly detection can be used to determine when something is noticeably different from the regular pattern. BYU professor Christophe Giraud-Carrier, director of the BYU Data Mining Lab, gave the ...

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

There are many facets of data mining, which includes using information for a database for anything from increasing a business's revenue to developing better healthcare infrastructures. (Kaleena McKell ...

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 ...

LONDON--(BUSINESS WIRE)--Quantzig, a leading analytics advisory firm that delivers customized analytics solutions, has announced the completion of its free resource that highlights the importance of ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...