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 ...
Everyone knows what data mining is, but the term “process mining” may be new to some. According to Gartner, process mining is a methodology used to discover, monitor and improve processes that already ...
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 ...
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 ...
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 ...
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 ...
Seeking efficiencies and streamlining operations, businesses have been turning to AI-based automation. As they pursue this, they need a way to look beyond their assumed processes to improve their ...
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 ...
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 ...
Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...
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 ...
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, ...
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