An Open Sourced Software for Data Transformation and an Application on Simulated Data

Basit Öğe Kaydı
dc.authoridKüçükakçalı, Zeynep/0000-0001-7956-9272
dc.authoridARSLAN, Ahmet Kadir/0000-0001-8626-9542
dc.authoridÇOLAK, CEMİL/0000-0001-5406-098X
dc.authorwosidKüçükakçalı, Zeynep/ABI-8072-2020
dc.authorwosidARSLAN, Ahmet Kadir/AAA-2409-2020
dc.authorwosidÇOLAK, CEMİL/ABI-3261-2020
dc.contributor.authorArslan, A. Kadir
dc.contributor.authorTunc, Zeynep
dc.contributor.authorColak, Cemil
dc.date.accessioned2024-08-04T20:46:54Z
dc.date.available2024-08-04T20:46:54Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractIn this study, it is aimed to develop a new user-friendly web-based software to ensure the normal distribution of the new data set obtained by applying various mathematical transformations to data sets that do not meet the normal distribution from parametric hypothesis testing conditions. The web based software is developed by Shiny web framework, which is an open source R package. In the web-based software, arcsinh (x), Box-Cox, Exponential, Lambert W (h type), Lambert W (s type), Logarithmic, Square root, Yeo-Johnson data transformation methods are used. The software also allows us to decide on the best conversion for the data set to be transformed by calculating the Pearson P test statistic, which chooses on the best method in the methods used. This is done by selecting the conversion with the smallest Pearson P statistic. In order to evaluate the outputs of the software, a data set with three variables was derived with the Cauchy, gamma, Weibull distributions respectively and 500 samples were used for each distribution. The developed software is novel user-friendly web-based software that enables researchers to get more accurate results in their work and to obtain data transformation methods that provide parametric test assumptions known as more powerful tests.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesien_US
dc.identifier.doi10.1109/idap.2019.8875876
dc.identifier.scopus2-s2.0-85074880878en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/idap.2019.8875876
dc.identifier.urihttps://hdl.handle.net/11616/99032
dc.identifier.wosWOS:000591781100008en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNormal Distributionen_US
dc.subjectdata Transformationen_US
dc.subjectweb-based softwareen_US
dc.titleAn Open Sourced Software for Data Transformation and an Application on Simulated Dataen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu