Breaking with trends in pre-processing?
| العنوان: | Breaking with trends in pre-processing? |
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| المؤلفون: | Jeroen J. Jansen, Gerard Downey, Jan Gerretzen, Jasper Engel, Lionel Blanchet, Ewa Szymańska, Lutgarde M. C. Buydens |
| المصدر: | Trac-Trends in Analytical Chemistry, 50, pp. 96-106 Trac-Trends in Analytical Chemistry, 50, 96-106 |
| بيانات النشر: | Elsevier BV, 2013. |
| سنة النشر: | 2013 |
| مصطلحات موضوعية: | Pre treatment, Computer science, computer.software_genre, Analytical Chemistry, Model validation, Chemometrics, Visual inspection, Data set, Mitochondrial medicine [IGMD 8], Variation (linguistics), Data mining, computer, Spectroscopy, Selection (genetic algorithm) |
| الوصف: | Data pre-processing is an essential part of chemometric data analysis, which aims to remove unwanted variation (such as instrumental artifacts) and thereby focusing on the variation of interest. The choice of an optimal pre-processing method or combination of methods may strongly influence the analysis results, but is far from straightforward, since it depends on the characteristics of the data set and the goal of data analysis. This first critical review is devoted to the selection procedure for appropriate pre-processing strategies. We show that breaking with current trends in pre-processing is essential, as all selection approaches have serious drawbacks and cannot be properly used. |
| وصف الملف: | application/pdf |
| تدمد: | 0165-9936 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::670ebce98773a1e3680006aaff9859b7Test https://doi.org/10.1016/j.trac.2013.04.015Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....670ebce98773a1e3680006aaff9859b7 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 01659936 |
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