Data Mining, also known as Knowledge Discovery in Databases, is a process used to extract implicit, previously unknown, but potentially useful information from raw data. This first website (1) provides a basic overview of Data Mining and some applications for the process. Common applications of data mining include fraud detection and marketing, but data mining has also been applied in paleoecology, and medical genetics as described on this website from the University of Helsinki (2). This website from the University of Massachusetts, Amherst (3) describes a project involving the development of new algorithms that will be applied to the creation of two large-scale databases to be used to "enable insight into government efficiency and the flow of scientific ideas." This white paper (4) provides a nice educational resource for Data Mining. If you are inspired to try your the process, the Weka Machine Learning Project from Waikato University (5) offers open source software that can be used for data mining tasks. KD Nuggets (6) posts articles on Data Mining, Knowledge Discovery, Genomic Mining, Web Mining that range from the serious to the silly, along with other resources. For a brief history of data mining and related fields, visit this website (7). Finally, The Data Mine website (8) is an excellent place to venture into further explorations on Data Mining.