NCeSS Project: Data Mining for Social Scientists

Jonathan Gibson, Firat Tekiner, Peter Halfpenny, Jacques Yzet Nazroo, Colette Fagan, Robert Procter, Yuwei Lin

Research output: Chapter in Book/Conference proceedingConference contribution

Abstract

We will discuss the work being undertaken on the NCeSS data mining project, a one year project at the University of Manchester which began at the start of 2007, to develop data mining tools of value to the social science community. Our primary goal is to produce a suite of data mining codes, supported by a web interface, to allow social scientists to mine their datasets in a straightforward way and hence, gain new insights into their data. In order to fully define the requirements, we are looking at a range of typical datasets to find out what forms they take and the applications and algorithms that will be required. In this paper, we will describe a number of these datasets and will discuss how easily data mining techniques can be used to extract information from the data that would either not be possible or would be too time consuming by more standard methods
Original languageEnglish
Title of host publicationThird International Conference on e-Social Science, Ann Arbor, MI, USA,
Publication statusPublished - 2000

Fingerprint

Dive into the research topics of 'NCeSS Project: Data Mining for Social Scientists'. Together they form a unique fingerprint.

Cite this