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 ...

Traditionally, enterprise data has been kept in information silos that are physically separate from other data repositories and serve specialized functions. Enterprise-wide reporting was difficult at ...

Data mining is a growing field of research at the nexus of computer science and statistics. With the advent of the Internet and remote sensing, the challenges of manipulating and learning from “big ...

Data mining is a process that turns large volumes of raw data into actionable intelligence. Data mining uses statistics and artificial intelligence to look for trends and anomalies in data. It's used ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Martin Kretschmer is Director of CREATe, the UK Centre for Copyright and New Business Models in the Creative Economy at the University of Glasgow (www.create.ac.uk ...