Data Mining vs. Data Warehousing This is a perfect example of data mining – credit card companies have a history of ... and important information and put it into one central aggregated database. Read more
Data warehousing supports informational processing by providing a solid platform of integrated, historical data from which to perform enterprisewide data analysis. This helps improve profit and guide strategic decision making. Data .
Data mining is the process of finding patterns in data. It is a generalisation, the definition of a methodology that often involves large datasets and therefore computation. It is useful to keep in mind that what was large datasets when data mining as a process flourished, is today rather small.
Aggregate (data warehouse) Wikipedia, the free encyclopedia . The single most dramatic way to affect performance in a large data warehouse is to provide a proper . aggregate data mining and warehousing . This page is about aggregate data mining and warehousing, click here to get more infomation about aggregate data mining and .