Interstitial lung abnormalities (ILAs) are parenchymal lung changes found on high-resolution CT. In routine use of high-resolution CT, non-specific findings are frequently reported, which has prompted ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

We speak to Cern principal scientist Archana Sharma about pattern recognition, machine learning and quantum technology.

Senator’s RISE Act would require AI developers to list training data, evaluation methods in exchange for ‘safe harbor’ from lawsuits ...

Periodic pattern mining, a branch of data mining, is expanding to provide insight into the occurrence behavior of large volumes of data. Recently, a variety of industries, including fraud detection, ...

Senior leaders are likely to be a consumer of statistics calculated by their direct reports to help them make informed decisions. While data are observed, the presenter decides which statistics ...

Data mining is like digging for gold. You’ve likely heard the term “data mining” before, but have you wondered what it means, ...

Keywords: menpas, COVID-19, data mining, clustering, human behavior Citation: Reigal RE, Pastrana-Brincones JL, González-Ruiz SL, Hernández-Mendo A, Morillo-Baro JP and Morales-Sánchez V (2020) Use of ...

The goal of the Patterns and Anomalies pattern of AI is to use machine learning and other cognitive approaches to learn patterns in the data and discover higher order connections between that data ...