Applications

• Feature Extraction Methods for Time Series Data in SAS Enterprise Miner
• Incremental Response Modeling Using SAS Enterprise Miner

Association, Sequence & Link Analysis

• Link Analysis Using SAS Enterprise Miner

Credit Scoring

• Building Loss Given Default Scorecard Using Weight of Evidence Bins in SAS Enterprise Miner
• Creating Interval Target Scorecards with Credit Scoring for SAS Enterprise Miner

Data Exploration & Visualization

• Improving the Performance of Data Mining Models with Data Preparation Using SAS Enterprise Miner

High-Performance Data Mining

• Building Bayesian Network Classifiers Using the HPBNET Procedure
• Methods of Multinomial Classification Using Support Vector Machines
• A New Age of Data Mining in the High-Performance World
• Scalability of the SAS/STAT HPGENSELECT High-Performance Analytical Procedure: A Comparison with RevoScaleR

Predictive Modeling & Machine Learning

• Best Practices for Machine Learning Applications
• Clustering Techniques to Uncover Relative Pricing Opportunities: Relative Pricing Corridors Using SAS Enterprise Miner and SAS Visual Analytics
• Ensemble Modeling: Recent Advances and Applications
• Leveraging Ensemble Models in SAS Enterprise Miner
• An Overview of Machine Learning with SAS Enterprise Miner
• SAS Does Data Science: How to Succeed in a Data Science Competition

Text Mining

• Analysis of Unstructured Data: Applications of Text Analytics and Sentiment Mining
• Automatic Detection of Section Membership for SAS Conference Paper Abstract Submissions: A Case Study
• Getting More from the Singular Value Decomposition (SVD): Enhance Your Models with Document, Sentence, and Term Representations
• Temporal Text Mining: A Thematic Exploration of Don Quixote
• Using Boolean Rule Extraction for Taxonomic Text Categorization for Big Data

Utilities

• The Power of the Group Processing Facility in SAS Enterprise Miner