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 ...

The Master's of Professional Studies in Data Sciences and Applications program trains students in analytics, including standard methods in data mining and machine learning, so they will possess the ...

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 ...

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 ...

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 ...

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 ...

*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 ...