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 ...

Configurable workflows support high-volume mining lab operations across sites and shifts—without forcing a one-size-fits-all ...

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 ...

The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics).

Dr. Chengcui Zhang is the director of the Knowledge Discovery and Data Mining Laboratory and the graduate program director at CIS. She has published more than 130 peer-reviewed papers in international ...

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships. Organizations today are gathering ever-growing volumes of ...