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 ...

Data mining has been defined as “the nontrivial extraction of implicit, previously unknown, and potentially useful information from data”. 1 In areas other than the life sciences and healthcare, data ...

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The MLDM´2018 conference is the fourteenth event in a series of Machine Learning and Data Mining meetings. The aim of MLDM is to bring together from all over the world researchers dealing with machine ...

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 ...

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 ...