The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

The second step in data mining process is the application of various modeling techniques. These are used to calibrate the parameters to optimal values. Techniques employed largely depend on analytic ...

The Master's of Professional Studies in Data Sciences and Applications program trains students in analytics, including standard methods in data mining and machine learning, so they will possess the ...

Data mining has been defined as “the nontrivial extraction of implicit, previously unknown, and potentially useful information from data”. 1 In areas other than the life sciences and healthcare, data ...