| InforSense |
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Predictive modeling and Data Mining techniques have many applications within business intelligence processes. For example, credit risk, fraud detection, quality control, warranty analysis, customer segmentation, customer lifetime value and cross-sell/up-sell analyses all require advanced analytics. InforSense provides an extensible toolset for predictive modeling methods including Decision Tree Induction, Decision Rule Induction, Naïve Bayes Classification, Logistic Regression, Neural Net, Support Vector Machines and an Ensemble Classification approach. It also provides extensions for multivariate analysis techniques including Principal Component Analysis (PCA), Partial Least Squares (PLS), Linear and Polynomial Regression and Neural Net Regression. Extensions for clustering analysis include K-Means Clustering, Hierarchical Clustering and Expectation Maximization clustering. Info on functionality and licensing of products is available directly through Crosslinks. |
