Liquid Apps focuses on integrating AI and data-driven systems into mining operations to improve efficiency, visibility ...

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 ...

As data grows, organizations are looking for ways to dig up insights from underneath layers of information. Data mining solutions provide the tools that enable them to view those hidden gems and ...

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 ...

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 ...

This concentration prepares students to utilize collected data to make predictions and discern in them patterns of objects being observed. Statistical analyses, along with forecasting and data mining ...

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 ...