Advanced Data Mining Techniques

The more advanced analytical data mining techniques that are available typically tries to classify, cluster data into similar sets, as well as seek out associations and sequential patterns.

The sophisticated techniques or software employed to find these relationships are often described as artificial intelligence, fuzzy logic, or expert systems: Here a few of the techniques used by these systems

• Artificial neural networks: Non-linear predictive models that learn through training and resemble biological neural networks in structure.
• Genetic algorithms: Optimisation techniques that use processes such as genetic combination, mutation, and natural selection in a design based on the concepts of natural evolution.
• Decision trees: Tree-shaped structures that represent sets of decisions. These decisions generate rules for the classification of a dataset. Specific decision tree methods include Classification and Regression Trees (CART) and Chi Square Automatic Interaction Detection (CHAID).

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