Data Mining Concepts

Data mining is frequently described as "the process of extracting valid, authentic, and actionable information from large databases." In other words, data mining derives patterns and trends that exist in data. These patterns and trends can be collected together and defined as a mining model. Mining models can be applied to specific business scenarios, such as:

• Forecasting sales.
• Targeting mailings toward specific customers.
• Determining which products are likely to be sold together.
• Finding sequences in the order that customers add products to a shopping cart.

An important concept is that building a mining model is part of a larger process that includes everything from defining the basic problem that the model will solve, to deploying the model into a working environment. This process can be defined by using the following six basic steps:

Here is the link to the Microsoft web site for

Data mining concepts