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Big Data Analytics: Investigating and Developing Analytics Techniques for Individuals’ Data Protection

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

About This PhD Project

Project Description

"The project develops Big Data Analytics techniques for the automatic and accurate detection of personal information in unstructured document repositories / streams.

From the 25th of May 2018 the General Data Protection Regulation (GDPR) will be enforced in all EU countries and the UK. Loosely speaking, this legislation empowers all EU and UK citizens to request (1) which personal information a company stores about them
(2) how this information is stored and (3) to erase it.

This is a considerable problem for data holders / processors, as this legislation has not been anticipated and non-compliance can lead to considerable fines. The real challenge here is data that is often not stored in structured databases, but personal information may be contained in loose format, in digitally documents.

Thus, this project will investigate new Big Data Analytics techniques that can be used to automatically detect documents containing personal information and map these documents to individual requests.

For enquiries please contact . Keywords: Data Mining, Big Data Analytics, Text Mining."

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