Data mining is a process that turns large volumes of raw data into actionable intelligence. Data mining uses statistics and artificial intelligence to look for trends and anomalies in data. It's used ...

Data mining is a buzz term that many people have heard in recent months or years. However, this tool for understanding the world that we live in remains underappreciated and generally misunderstood by ...

The second step in data mining process is the application of various modeling techniques. These are used to calibrate the parameters to optimal values. Techniques employed largely depend on analytic ...

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 ...

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 ...

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 ...

Professor Wil van der Aalst, Chief Scientist at Celonis, explains how an object centric approach transforms process mining from two dimensional to three dimensional. Professor Wil van der Aalst is ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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, ...