The second step in data mining process is the application of various modeling techniques. These are used to calibrate the parameters to optimal values. Techniques employed largely depend on analytic ...

Data mining is a growing field of research at the nexus of computer science and statistics. With the advent of the Internet and remote sensing, the challenges of manipulating and learning from “big ...

This course Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to effectiveness and efficiency.

Data mining and pattern recognition form the cornerstone of modern data science by enabling the extraction of meaningful information from vast and complex data sets. These techniques integrate ...

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships. Organizations today are gathering ever-growing volumes of ...

There are many facets of data mining, which includes using information for a database for anything from increasing a business's revenue to developing better healthcare infrastructures. (Kaleena McKell ...

Data residing in small chips and hard disks are so much huge that they cannot be easily analyzed manually. So to access useful and knowledgeable information, one has to go beyond human’s reach and ...

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 ...

Data mining is a buzz term that many people have heard in recent months or years. However, this tool for understanding the world that we live in remains underappreciated and generally misunderstood by ...