Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into ...

Classification is a data mining technique based on machine learning which is used to classify each item in a set of data into a set of predefined classes or groups. Classification methods make use of ...

Data mining techniques have been widely used for extracting knowledge from large amounts of data. Monitoring deforestation is utmost important for the developing countries. Classification of ...

Real-world predictive data mining (classification or regression) problems are often cost sensitive, meaning that different types of prediction errors are not equally costly. While cost-sensitive ...

CLEVELAND -- The American Civil Liberties Union of Ohio said today that it wants answers from the state Attorney General about Ohio's participation in the controversial "MATRIX" database surveillance ...

This article, an excerpt from Java Data Mining: Strategy, Standard, and Practice by Mark F. Hornick, Erik Marcade, Sunil Venkayala (Morgan Kaufman, 2007), introduces data mining concepts for those new ...