Process mining bridges the gap between data mining and the modelling, control and improvement of business processes. Going forward, Gartner expects process mining and analysis will evolve to process ...

Researchers have introduced four OLAP-inspired operations, drill-down, roll-up, unfold and fold, that let analysts ...

Both process mining and data mining can help business leaders gain a competitive edge, but they work in different ways. Here's a look at what process mining and data mining do and how they are ...

Process mining and Generative AI are two powerful technologies that are revolutionizing the field of data science. Process mining involves extracting knowledge from event logs to gain insights into ...

Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Data mining techniques and tools help ...

Celonis, a Germany-based maker of process-mining tools, has announced several key acquisitions, capabilities, and partnerships involving its core platform. These include the launch of the Celonis ...

I am a big believer in process mining. My devotion to the approach is partly based on a strong belief in the value of a process orientation; I don’t think organizations can improve their operations ...

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 ...

Microsoft announced the acquisition of Minit, a process mining technology vendor. Minit Process Mining provides capabilities like AI-Powered Root Cause Analysis, Simulations, and Hierarchical Process ...

Data mining is a process that turns raw data into actionable insights for businesses and institutions — it is a branch of analytics that finds patterns and correlations within large sets of data which ...