data mining

Data mining parameters include:

• Association - looking for patterns where one event is connected to another event
• Sequence or path analysis - looking for patterns where one event leads to another later event
• Classification - looking for new patterns (May result in a change in the way the data is organized but that's ok)
• Clustering - finding and visually documenting groups of facts not previously known
• Forecasting - discovering patterns in data that can lead to reasonable predictions about the future (This area of data mining is known as predictive analytics.)

Data mining techniques are used in a many research areas, including mathematics, cybernetics, genetics and marketing. Web mining, a type of data mining used in customer relationship management (CRM), takes advantage of the huge amount of information gathered by a Web site to look for patterns in user behavior.

Learn more about SQL Server Business Intelligence (BI) and Data Warehousing

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More resources from around the web: - SearchCRM.com has a Data Quality Learning Guide.

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