The application of data mining algorithms in animal weight prediction has emerged as a vital tool for modern livestock management. Advanced techniques such as Classification and Regression Trees (CART ...

Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the interpretability ...

Data mining is an important research area in computer science. It is a computational process of determining patterns in large data. Image mining is one of important techniques in data mining, which ...

This article details and expands those concepts associated with mining functions and algorithms by example. Although we discuss higher-level details of the algorithms used to give some intuition about ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...

Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now ...

A guide to what data mining is, how it works, and why it's important. Big data is everywhere we look these days. Businesses are falling all over themselves to hire 'data scientists,' privacy advocates ...

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 ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...