Salford Analytics and Data Mining Conference 2012

Insight For Data Enthusiasts • San Diego, CA • May 24-25
Training May 21-23 • Welcome Reception May 23

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Sessions

Statistical Epistasis and Progressive Brain Change in Schizophrenia: An Approach for Examining the Relationships Between Multiple Genes

Presented by Marsha Wilcox

Leveraging Feature Selection Within TreeNet

Presented by Aaron Davis

Machine Learned Relevance at a Large Scale Search Engine

Presented by Eric Glover

True-Lift Modeling: Mining for the Most Truly Responsive Customers and Prospects

Presented by Kathleen Kane

CART and Related Methods

Presented by Vojtech Jarosik

Interaction Detection With TreeNet Boosted Tree Ensembles

Presented by Dan Steinberg

Modeling Techniques Using CART and TreeNet

Presented by Mikhail Golovnya

Adverse Events: Side Effects of Medication (Insurance Claims dataset, with Discussion of Splitting Rule Methodology)

Presented by Marsha Wilcox

Tree-Based Methods in Drug Safety Research

Presented by Marsha Wilcox

Using CART and TreeNet to Discern Models in Genetics: Alzheimer Disease, Alcoholism and Cocaine Addiction

Presented by Marsha Wilcox

Using CART to Discern Models in Genetics: Alcoholism, Alzheimers and Aging

Presented by Marsha Wilcox

Genes, Cognition and Psychosis: Insights from TreeNet and RandomForests

Presented by Richard Straub

Survey Analysis: Data Mining Versus Standard Statistical Analysis for Better Analysis of Survey Responses

Presented by Dean Abbott

CART for Selecting Features in Biomedical Context

Presented by Richard Olshen

New Binary-Tree Structured Methods For Studying The Genetics of Complex Disease

Presented by Richard Olshen

Extending CART With New Linear Combination Methods

Presented by Richard Olshen

Predicting Insurance Fraud While Comparing Data Mining Techniques

Presented by Louise Francis

Data and Disaster: The Role of Data in the Financial Crisis

Presented by Louise Francis

A comparison of Data Mining Methods Used to Predict Insurance Fraud

Presented by Louise Francis

TreeNet vs. Neural Networks: Insurance Fraud Data

Presented by Louise Francis

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