Researchers have given a boost to privacy and protection of proprietary or other sensitive information during data mining, while not compromising on the ability to discover useful patterns in huge ...

Item set mining has been an active area of research due to its successful application in various data mining scenarios including finding association rules. Though most of the past paper has been on ...

Data mining and pattern recognition form the cornerstone of modern data science by enabling the extraction of meaningful information from vast and complex data sets. These techniques integrate ...

When the U.S. Department of Homeland Security put into effect its Automated Targeting System (ATS) in December, it added to a growing list of programs that use information about ordinary Americans to ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More For years, enterprise companies have been plagued by data silos ...

The past year and a half has proven transformative for businesses large and small. As the COVID-19 pandemic engulfed the globe, the business sector had to quickly pivot and rethink the structure of ...

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 ...

Spatial co-location pattern mining is a sub-discipline of spatial data analysis that seeks to identify subsets of spatial features which frequently occur in close proximity. It aims to uncover the ...