Select Mining Activity Type

Select the mining type and the algorithm used to build the model:

• Anomaly Detection; see Anomaly Detection.
• Association Rules; see Association Models.
• Attribute Importance; see Attribute Importance Models for information.
• There are several choices for Classification depending on the algorithm; see Classification Models for an overview of classification. one of the following:
• Classification: Decision Tree, the default algorithm; see Decision Tree Algorithm for information.
• Classification: Naive Bayes; see Naive Bayes Algorithm for information.
• Classification: Adaptive Bayes Network; see Adaptive Bayes Network Algorithm for information.
• Classification: Support Vector Machine; see Support Vector Machine Algorithm for information.
• There are several choices for Clustering depending on the algorithm; see Clustering Models for an overview of clustering. Select one of the following:
• Clustering k-Means; see k-means Algorithm for information.
• Clustering: o-Cluster, the default; see O-Cluster Algorithm for information.
• Feature Extraction; see Feature Extraction Models for information.
• Regression; see Regression Models for information.

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The next step is to select the input data.

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