Simply put, data mining is the process of using algorithms and other digital analysis techniques to analyze enormous volumes of data (via IBM).

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 ...

Here, appropriate data mining algorithms are selected based on the goal of the mining — e.g., classification, regression, clustering, etc. Different algorithms are better suited for different ...

MAYA is an algorithm for ultra-efficient data mining of large single-cell datasets. MAYA deciphers the complexity of the biological pathways at stake in complex human diseases.

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 ...

Oracle Machine Learning in Autonomous Database is a data preparation, exploration, and mining option that uses more than 30 scalable, in-database machine learning algorithms for model creation.

It starts with collecting raw data from various sources. Then comes pre-processing, which is cleaning and transforming the data. After that, data mining algorithms analyse the data to find patterns.

How does the CryptoNight mining algorithm work? CryptoNight uses the CryptoNote consensus protocol to strengthen privacy so that nobody can tell which participant in the transaction is paying and ...

BUFFALO, N.Y. — Old newspapers provide a window into our past, and a new algorithm co-developed by a University at Buffalo School of Management researcher is helping turn those historic documents into ...