Outlier elimination using granular box regression

• المؤلفون الرئيسيون: Reza Mashinchi, M., Selamat, A., Ibrahim, S., Fujita, H.
• التنسيق: مقال
• منشور في: Elsevier 2016
• الموضوعات: QA76 Computer software
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/71674/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938199375&doi=10.1016%2fj.inffus.2015.04.001&partnerID=40&md5=dddcdf6c051dc05e017aa4be15e8698d

A regression method desires to fit the curve on a data set irrespective of outliers. This paper modifies the granular box regression approaches to deal with data sets with outliers. Each approach incorporates a three-stage procedure includes granular box configuration, outlier elimination, and linea...