Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...

Lucas M. Schroth and Urszula Jessen founded Process.Science to address inefficiencies in traditional data analysis. The company utilizes an AI-powered process mining platform that integrates ...

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 isn’t just techno-speak for messing around with a lot of data. Data mining doesn’t give you supernatural powers, either. Data mining is a specific way to use specific kinds of math. It’s ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

Analytics initiatives are not failure proof. In practice, they fail often. Bernard Marr, Forbes contributor and author of Big Data: Using SMART Big Data, Analytics and Metrics to Make Better Decisions ...

Orange is a machine learning and data mining suite for data analysis through python scripting and visual programming. Here the authors report on the scripting part, which features interactive data ...

The University of Iowa is using data mining techniques to solve a problem as old as the information technology industry itself: Whether, where and when to add IT resources to the campus technology ...