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- aggregation classification "C1".
- aggregation creator person.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 3151127.bibtex.
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- aggregation isPartOf urn:isbn:9781467351645.
- aggregation language "eng".
- aggregation publisher "IEEE".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Business and Economics".
- aggregation title "Temporary staffing services: a data mining perspective".
- aggregation abstract "Research on the temporary staffing industry discusses different topics ranging from workplace safety to the internationalization of temporary labor. However, there is a lack of data mining studies concerning this topic. This paper meets this void and uses a financial dataset as input for the estimated models. Bagged decision trees were utilized to cope with the high dimensionality. Two bagged decision trees were estimated: one using the whole dataset and one using the top 12 predictors. Both had the same predictive performance. This means we can highly reduce the computational complexity, without losing accuracy.".
- aggregation authorList BK250928.
- aggregation endPage "292".
- aggregation startPage "287".
- aggregation aggregates 3151493.
- aggregation isDescribedBy 3151127.
- aggregation similarTo ICDMW.2012.103.
- aggregation similarTo LU-3151127.