Example 1: A Simple Project for Creating Standard Reports and Summaries

Example 3: Predictive Data Mining and Deployment for a Continuous Output Variable

Example 4: Predictive Data Mining for Categorical Output Variable (Classification)

Association Rules Applied to Consumer Preferences

Example 1: Classification via Boosted Trees

Example 2: Prediction of Continuous Dependent Variable

**General Classification and Regression**

Example 1: Pattern Recognition (Classification of Digits)

Example 2: Regression Tree for Predicting Poverty

**Generalized Additive Models (GAM)**

Generalized Additive Models Example

**Generalized EM and k-Means Cluster Analysis**

Example 1: Automatic Selection of the Best Number of Clusters from the Data

Example 2: Illustration of EM Clustering with a Synthetic Data Set

**Goodness of Fit, Classification, Prediction**

Example: Goodness of Fit Indices for Regression Predictions

**Independent Component Analysis**

Independent Component Analysis Example

**Interactive Trees (C&RT, CHAID)**

Interactive Trees (C&RT, CHAID) Example

**Multivariate Adaptive Regression Splines (MARSplines)**

**Optimal Binning for Predictive Data Mining**

Example: Using SIC Codes for Building a Predictive Model

**Rapid Deployment of Predictive Models**

Example 1: Creating Deployment Code for Scoring New Records

Example 2: Rapid Deployment of Predictive Models

**Sequence, Association, and Link Analysis**

Association Rules Applied to Consumer Preferences

Sequence Association Rules Applied to Microsoft Web Logs

*STATISTICA* Automated Neural Networks (SANN)

Example 1: Performing Regression with 4-Bar Linkage Data

Example 2: The Iris Problem (Classification)

Example 3: Growth in Number of Airline Passengers over Time

Example 4: Time Series (Classification)

Example 5: Cluster Analysis in SANN

Example 6: Deploying the 4Bar Linkage Data

**Text & Document Mining, Web Crawling**

Example 1: Automatic Text Classification

Example 2: Refining Automatic Text Classification with Synonyms and Phrases