DataScope Predictor Module provides powerful knowledge
discovery and data mining algorithms suitable for tasks such as modeling customer
value, predicting customer churn, assessing loan applicants, identifying fraudulent
transactions and many more. Using a variety of state-of-the-art learning
algorithms, DataScope Predictor is able to learn from the data in your database.
When combined with the DataScope Explorer and DataScope
Clusterer modules, DataScope Predictor provides a complete data visualization
and data mining environment.
The results of applying the models discovered by Predictor can be saved into a new
database column for export or for further visual analysis within DataScope
Explorer. This result column is automatically recalculated on data or model changes
and charts displaying the model results are instantly updated, thus always displaying
the most up-to-date prediction or segmentation results.
Clustering Methods: Kohonen, Shepherd, Fuzzy C-Means
Classification Methods: Decision Tree, Rule Set
Instance-based Methods: K-Nearest Neighbor (k-NN)
Regression Methods: Neural Network, Linear Regression, Quadratic Regression, Trend
Analysis with Non-Linear Regression, Support Vector Machine, Logistic Regression
Wizard guided model training
Data filters with custom expressions for training and test data set definition.
Random sampling of data sets.
Auto validation of training and test data sets.
Learning from data sets containing not known (n/a) values.
Visual display of models results