This book is a series of seventeen edited “student-authored lectures” which explore in depth the core of data mining (classification, clustering and association rules) by offering overviews that ...

Predictive analytics, pattern recognition, and classification problems are not new. Long used in the financial services and insurance industries, predictive analytics is about using statistics, data ...

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most ...

Big data provides the raw material used in data mining. Big data can be either structured (often numeric, easily formatted, and stored) or unstructured (more free-form, less quantifiable).

Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning ...

UB classifies data into three risk-based categories to regulate access to, use of, and necessary precautions required to the protect university data. This policy provides a classification framework ...

When Galaxy Digital (GLXY) CEO Mike Novogratz bought Argos' Helios data center in late 2022, at the depths of the post-FTX crypto winter, the company thought they were bailing out a desperate ...

DENVER, CO / ACCESS Newswire / May 22, 2025 /Vox Royalty Corp. (TSX:VOXR) (NASDAQ:VOXR)("Vox" or the "Company"), a returns ...

Library for generating Docker images with an ADAMS workflow running inside.

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. Proteomics ...

Abstract: This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs and deal ...