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 ...

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 ...

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 data ...

SAS, the leader in business intelligence, announces the immediate availability of enhanced interoperability between SAS's and IBM's data mining offerings. SAS and IBM are the first companies to ...

This means we can extract information from our UMDW and perform some Data Mining algorithms on the data to uncover some patterns and trends. Instead of Business data we are analyzing SQL Server ...

A guide to what data mining is, how it works, and why it's important. Big data is everywhere we look these days. Businesses are falling all over themselves to hire 'data scientists,' privacy advocates ...

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 ...

The revenue cycle is the engine that keeps a hospital running. Yet, many finance executives are not armed with the right information or the right tools to build a well-oiled machine. Given growing ...