LabKey Debuts Mining LIMS for Mining & Metallurgical Labs

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

Data mining: how it works, why it's important

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 ...
The Digital Universe

5 data mining methods

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 ...
CU Boulder News & Events

Data Mining Basics

Data mining is a growing field of research at the nexus of computer science and statistics. With the advent of the Internet and remote sensing, the challenges of manipulating and learning from “big ...
Rochester Institute of Technology

Machine Learning and Data Intensive Computing (Mining) Lab

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).
InfoWorld

What is data mining? How analytics uncovers insights

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 ...
Kaleido Scope

Chengcui Zhang

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 ...