Data mining in the survey setting: why do children go off the rails?

Simple item page
dc.contributor.authorScheffer, Judi
dc.date.accessioned2013-05-07T21:24:22Z
dc.date.available2013-05-07T21:24:22Z
dc.date.issued2002
dc.description.abstractData Mining is relatively new in the field of statistics, although widely used elsewhere. Is it a good idea to discard the model-based methods in favour of Data Driven methods? Data driven methods produce a high degree of accuracy, but very little interpretability. Model based methods are interpretable, but lack accuracy. Data mining techniques are commonly used where the data collection has been automated. I will show these methods are also useful in the large survey setting.en
dc.identifier.citationScheffer, J. (2002), Data mining in the survey setting: why do children go off the rails?, Research Letters in the Information and Mathematical Sciences, 3, 161-189en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4354
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectData miningen
dc.subjectSurveysen
dc.subjectStatisticsen
dc.titleData mining in the survey setting: why do children go off the rails?en
dc.typeArticleen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Data_Mining_in_the_Survey_Setting-Why_do_Children_go_off_the_Rails.pdf
Size:
587.25 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Letters in the Information and Mathematical Sciences