Network theory applications in data classification exploit the representation of data points as nodes in a graph with edges encoding similarity, correlation or interaction. Classical approaches build ...

Data mining and knowledge discovery refers to the systematic process of extracting useful patterns, trends and models from large and complex data sets. At its heart lies a cycle of problem definition, ...

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 ...