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 ...

Dr. Zinovy Radovilsky, Professor of Management, College of Business and Economics, California State University, East Bay After battling a lackluster economy for years, most executives are out of ideas ...

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 ...

Area(s) of potential collaboration: Would like to collaborate with faculty who are interested in developing grant proposals that involve GIS and network analytics. Primary research focus: I study how ...

LONDON--(BUSINESS WIRE)--Quantzig, a leader in delivering scalable analytics solutions and data science services, today announced the completion of its recent article that sheds light on the growing ...

German data process mining software firm Celonis GmbH made a key acquisition today, buying a rival in the market called Process Analytics Factory GmbH for an undisclosed fee. Celonis said the ...

C-suite leaders have high expectations of data. They want to be able to whip out their smartphones and bring up beautiful visualizations of trends that give them actionable insights into the business ...

It has been nearly eight years since data scientist was declared the sexiest job of the 21st century. As senior professionals demonstrating the talent and creativity necessary to transform raw data ...

The quantity of digital text data has grown exponentially in recent years and will continue to grow. From social media posts to customer transactions, surveys, reviews, chats, emails and more, ...

The contemporary era’s extensive use of data, particularly in education, has provided new insights and benefits. This data is called ‘education big data’, and the process of learning through such data ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...