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This makes it much easier and more efficient to run queries over data that originally came from different sources." When data about an organization’s practices is easier to access, it becomes more economical to mine. “Without the pool of validated and scrubbed data that a data warehouse provides, the data mining process requires considerable additional effort to pre-process the data” (SAS Institute).
There are several different types of models and algorithms used to “mine” the data. These include, but are not limited to, neural networks, decision trees, rule induction, boosting, and genetic algorithms...
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Common topics in this essay:
- Putting Data To Work: Intelligently Using Data Mining, Data Warehousing And Databases.
- Data Mining
- Data mining
- Data Mining
- Data Mining
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- Data Mining and Warehousing
- Data Mining In A Nut Shell
- Data mining in customer acquisition
- DATA MINING IN HOMELAND SECURITY
- An Exploration of Understanding Heterogeneity through Data Mining
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