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 ...

Customer data mining (CDM) may be a fragmented market on the user side, but relatively few vendors control the space, according to evidence from a new Gartner report. CDM, defined by Gartner as "the ...

This article is published by AllBusiness.com, a partner of TIME. What is "Data Mining?" Data mining is the process of extracting useful patterns, correlations and insights from large datasets using ...

For its first product, Leadscope relied on a file-based approach for its applications. It followed this with an Enterprise solution based on the pharmaceutical industry standard Oracle for its ...

Aim of the Conference This conference is the thirteen conference in a series of industrial conferences on Data Mining that will be held on yearly basis. Experts from different fields will present ...

Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...

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 ...

Electronic health record (EHR) systems are increasingly being implemented all over the world, but represent a vast, underused data resource for biomedical research. Structured EHR data, such as ...

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 ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Your data warehouse runneth over. But are you getting all ...