Although GPU acceleration is a relatively little-discussed topic in comparison to the hype around in-memory databases and emerging software frameworks, it is not because of a lack of research or set ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

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 ...

Data mining, sometimes used synonymously with “knowledge discovery,” is the process of sifting large volumes of data for correlations, patterns, and trends. It is a subset of data science that uses ...

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 ...

Before you start analyzing, you might want to take a look at your data object’s structure and a few row entries. If it’s a 2-dimensional table of data stored in an R data frame object with rows and ...