The study of clustering and classification of uncertain data addresses the challenges posed by imprecise, noisy, or inherently probabilistic measurements common in many modern data acquisition systems ...

Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...

The probability of a magnitude-7 earthquake in Southern California briefly increased as much as 50-fold earlier this week, but has since been dropping back to normal, according to the U.S. Geological ...

Forbes contributors publish independent expert analyses and insights. Bryce Hoffman writes about leadership, strategy, and decision making. The clustering illusion is a cognitive bias that leads us to ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Identify the core functionalities of data modeling in the data mining ...