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 ...

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 is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships. Organizations today are gathering ever-growing volumes of ...

In the rush toward high-throughput screening, high-content data mining was pushed aside. Now, it’s racing to catch up, as researchers in disciplines throughout the world find meaningful ways to use ...

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 ...

In 2020, people as a whole generated 2.5 quintillion data bytes every day. While not all of those are collected by businesses, a large portion of them are, leaving an insane amount of data that ...

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 ...

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 ...

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 ...