Wikipedia Definition & Overview – Data Mining
Data mining (the analysis step of the “Knowledge Discovery in Databases” process, or KDD) is the process that attempts to discover patterns in large data sets. It utilizes methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.
An Introduction to Data Mining
Background for data mining’s progression along with access to a tutorial and white papers.
Data Mining Group (DMG)
The Data Mining Group (DMG) is an independent, vendor led consortium that develops data mining standards, such as the Predictive Model Markup Language (PMML).
Data Mining: How Companies Now Know Everything About You
Time Magazine article Mar. 10, 2011
KDnuggets News
An extensive log of news items pertaining to data mining.
Statistical Data Mining Tutorials
The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.
Top 10 Data Mining Video Sites
Here is a compilation of Top 10 Data Mining Video sites that can show you how to perform data mining tasks (classification, clustering, association rule and sequential pattern discovery) using popular data mining software/tools.
Video — YouTube
NJIT School of Management professor Stephan P Kudyba describes what data mining is and how it is being used in the business world. (05/25/10)