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 has evolved from the esoteric domain of the mathematician to the expert statistician’s programming and workbench tools and, at last, to the realm of widely accessible business applications ...

The Master's of Professional Studies in Data Sciences and Applications program trains students in analytics, including standard methods in data mining and machine learning, so they will possess the ...

Data mining and pattern recognition form the cornerstone of modern data science by enabling the extraction of meaningful information from vast and complex data sets. These techniques integrate ...

Data mining isn’t just techno-speak for messing around with a lot of data. Data mining doesn’t give you supernatural powers, either. Data mining is a specific way to use specific kinds of math. It’s ...

Data mining is enhanced, often dramatically, when the source data are improved. The ultimate goal is for data mining to be performed off a platform that we at Wheaton Group refer to as best-practices ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Your data warehouse runneth over. But are you getting all ...

As with any technology, the challenge to gaining proficiency is not being afraid to venture into the unknown. As Mark Twain noted, “the secret of getting ahead is getting started,” and a strategy to ...

Those who follow trend lines in enterprise technology have seen these two things bandied about at increasing rates for the last few years. Technologist and executives who have worked companies that ...

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 ...