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 ...

Notwithstanding all the emphasis I’ve put on text data in my past two columns, enterprises also run on numbers. Yet companies are typically staffed by humans, and most humans are somewhat ill at ease ...

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 ...

Today, the mining industry is at an inflection point and faces a disruptive technological innovation leap including but not limited to the adoption of robotic machines, artificial intelligence, ...

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 ...

*Frack that data, as the privacy advocates like to say nowadays. Authors can submit their papers in long or short version: Papers will be submitted via online reviewing systems. Please submit the ...

Data mining tools collect and analyze data much faster than humans. Learn what data mining is, how it works, and how to use it effectively. Data mining is an important big data management strategy ...