Data mining is one of the most promising modern information technologies. The corporate world has learned to derive new value from data by utilizing various intelligent tools and algorithms designed for an automated discovery of non-trivial, useful, and previously unknown knowledge in raw data. The majority of available data mining tools are based on a few well-established technologies for data analysis. Decision trees, neural networks, case-based reasoning, genetic algorithms, and of course linear regression represent the most familiar analysis techniques. Different knowledge discovery methods are suited best for different applications. Among the useful knowledge presentation tasks one can name the dependency detection, numerical prediction, explicit relation modeling, or classification rules.
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