Track: Data Mining
Building Statistical Models with Missing Data
Monday, April 12, 3:35-4:15pm EDT
Though businesses are filled with massive amounts of data, it’s more common than not that a dataset is replete with missing data. This provides an interesting challenge in the process of building a descriptive or predictive model. The presenter will illustrate a variety of statistical techniques designed to handle this situation minimizing the negative impact that the missing information has on the final model.