Decision Tree Induction & Clustering Techniques In SAS Enterprise Miner, SPSS Clementine, And IBM Intelligent Miner A Comparative Analysis

Predicting Workers’ Compensation Insurance Fraud Using SAS Enterprise Miner 5.1 and SAS Text Miner

Insurance fraud costs the property and casualty insurance industry over 25 billion dollars (USD) annually. This paper addresses workers' compensation claim fraud. A data mining approach is adopted, and issues of data preparation are discussed. The focus is on building predictive models to score an open claim for a propensity to be fraudulent. A key component to modeling is the use of textual da...

Machine Learning With SAS Enterprise Miner

Selecting Classification and Clustering Tools for Academic Support

Classification and clustering are powerful and popular data mining techniques. Organizations use them to capture information, retain customers, and improve business performance. This paper presents a method for selecting data mining software for an academic environment based on its classification and clustering tools. This research applies the data mining software evaluation framework to evalua...

Comparative Analysis of Neural Network Models for Premises Valuation Using SAS Enterprise Miner

The experiments aimed to compare machine learning algorithms to create models for the valuation of residential premises were conducted using the SAS Enterprise Miner 5.3. Eight different algorithms were used including artificial neural networks, statistical regression and decision trees. All models were applied to actual data sets derived from the cadastral system and the registry of real estat...

Combining SAS® Text Miner with the Association Node in SAS® Enterprise Miner(tm) to Investigate Inventory Data

Association rules are developed particularly using records of purchases to increase sales. However, when the inventory is large, the number of items can overwhelm relatively modest servers, requiring considerable investments in hardware. The number of items also suggests that the strength of any association will be low. Inventory items that are similar generally have similar sounding names. Whi...