NCeSS Data Mining Project
Following on from the earlier Supercomputing Data Mining project, Manchester Computing is now undertaking a project funded by NCeSS to develop data/text mining tools of value to the e-social science community. Our goal is to produce a suite of data mining codes, supported by a web interface, to address the needs of this group. The project is currently investigating a number of potential applications within the social sciences:
- The clustering of verbatim interviewee responses to open-ended questions to enable their automatic categorisation, a task that is otherwise a slow and painstaking manual process.
- The mining of data produced from the "Establishment Survey on Working Time and Work-Life Balance" in order to extract more useful information than might be found by more traditional analysis techniques.
[Project PI] Dr Firat Tekiner, School of Computer Science, The University of Manchester
[Research Assistant] Dr Jon Gibson, Manchester Computing, The University of Manchester
- Professor Peter Halfpenny, School of Social Sciences, The University of Manchester
- Professor James Nazroo, School of Social Sciences, The University of Manchester
- Professor Colette Fagan, School of Social Sciences, The University of Manchester
Page last updated: 23-Feb-2007