Open AccessA linear regression approach to predicting salaries with visualizations of job vacancies: a case study of Jobstreet Malaysia
Author(s) -
Khyrina Airin Fariza Abu Samah,
Nurqueen Sayang Dinnie Wirakarnain,
Raseeda Hamzah,
Nor Aiza Moketar,
Lala Septem Riza,
Zainab Othman
Publication year - 2022
Publication title -
iaes international journal of artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2252-8938
pISSN - 2089-4872
DOI - 10.11591/ijai.v11.i3.pp1130-1142
Subject(s) - computer science , salary , dashboard , usability , visualization , seekers , usable , test (biology) , scale (ratio) , linear regression , reliability (semiconductor) , field (mathematics) , regression analysis , data mining , data science , machine learning , human–computer interaction , world wide web , mathematics , paleontology , power (physics) , physics , quantum mechanics , biology , political science , pure mathematics , law