The 'information revolution' has generated large amounts of data, but valuable information is often hidden and hence unusable. In addition, the data may come in many different forms, e.g. high-dimensional data collections, stream and time-series data, textual documents, images, large-scale graphs representing communication in social networks or protein-to-protein interactions etc. This module will introduce a range of techniques in the fields of pattern analysis, data analytics and data mining that aim to extract hidden patterns and useful information in order to understand such challenging data.
Learning Outcomes
By the end of the module students should be able to:
demonstrate knowledge and understanding of core ideas of pattern analysis, data analytics and data mining
demonstrate understanding of broader issues of generalisation in intelligent data analysis
demonstrate the ability to apply the main approaches to unseen examples.