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 ...

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 ...

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 ...