Competitive advantage requires capabilities. Opportunities are built through knowledge. The process of extracting knowledge from data is data mining.
Typical data mining tasks addressed include:
1??? Because of their tendency to respond to an offer by the customer
2??? Identify opportunities for cross-selling
3??? Insurance and financial fraud and abuse detection
4??? A disease recurrence or a re-entry Hospital estimate
5??? Several underlying causes of an outcome in clinical catalogo camisetas futbol trials
6??? Determine the optimum set of parameters for a production operation
7??? Forecast peak load of a network
Without the right analysis tools, useful knowledge hidden in large amounts of raw data is quite a task. The best data mining software modeling tools, such as regression, catalogo camisetas futbol neural networks, decision trees, Bayesian networks, support vector machines and random forest machine learning to a variety of algorithms to offer, to name a few.
However, data mining requires much more than just learning machine. Additional processing of data mining, data and results distribution. Loading data processing and integrating data from different data sources, and general data cleaning, and involves performing exploratory data analysis. Application delivery model results in the production environment and for business users as a simple summary of
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2012年9月18日星期二
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