Analysis of Irish Labour Market using Predictive Modelling
A. Nachev

A. Nachev, BIS, Cairnes Business School, NUI Galway, Galway, Ireland.
Manuscript received on 13 August 2016 | Revised Manuscript received on 20 August 2016 | Manuscript Published on 30 August 2016 | PP: 172-180 | Volume-5 Issue-6, August 2016 | Retrieval Number: F4712085616/16©BEIESP
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Abstract: This study explores empirically Irish labour market and factors affecting employability rate of Irish nationals, using data from the Quarterly National Household Survey and data mining techniques. The research is conducted according to the CRISP-DM methodology and addresses its stages. We perform data cleansing and reduction of dimensionality, analyse data, and build predictive models to measure employability rate. The study uses two statistical techniques to train the models and also provides performance analysis of the models, measures variable significance using sensitivity analysis (SA) and variable effect characteristic (VEC) curves. The paper discusses results and draws conclusions.
Keywords: Data Mining, Classification, Logistic Regression, Linear Discriminant Analysis, Labour Market.

Scope of the Article: Classification