that it's easy to get lost when it comes to the question of what techniques to apply to what data. This is where data mining comes in - put broadly, data mining is the utilization of statistical ...

Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete ...

SACRAMENTO, Calif. — Is your government agency struggling to get a handle on datamining? If so, representatives from IBM and Splunk have a few tips to help make better sense of unstructured data ...

This article provides a quick explanation of the nine most common data-mining techniques used in predictive analytics. Becoming familiar with them will go a long way toward enabling you to recognize ...

Statistical analyses, along with forecasting and data mining techniques will be taught. Classroom teaching will be combined with software use. You can take the course listed below as individual ...

A "Data Mining Research Problem Book" marked "top secret strap 1" has been leaked that details some of the key techniques used by GCHQ to sift through the huge volumes of data it pulls ...