No business can be data-driven if the only people interested in data analysis are the analysts. Just as the guidance of accountants and attorneys shapes everyday business, analytics must be integrated ...

The second step in data mining process is the application of various modeling techniques. These are used to calibrate the parameters to optimal values. Techniques employed largely depend on analytic ...

Data mining is a process that turns large volumes of raw data into actionable intelligence. Data mining uses statistics and artificial intelligence to look for trends and anomalies in data. It's used ...

Data mining is a buzz term that many people have heard in recent months or years. However, this tool for understanding the world that we live in remains underappreciated and generally misunderstood by ...

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 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 ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Data collected from hematopoietic SCT (HSCT) centers are becoming more abundant and complex owing to the formation of organized registries and incorporation of biological data. Typically, conventional ...