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http://dx.doi.org/10.7236/JIIBC.2019.19.1.97

Feature Selection for Creative People Based on Big 5 Personality traits and Machine Learning Algorithms  

Kim, Yong-Jun (Dept. of Computer Engineering, Ajou University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.19, no.1, 2019 , pp. 97-102 More about this Journal
Abstract
There are many difficulties to define because there is no systematic classification and analysis method using accurate criteria or numerical values for creative people. In order to solve this problem, this study attempts to analyze how to distinguish creative people and what kind of personality they have when distinguishing creative people. In this study, I first survey the Big 5 personality trait, classify and analyze the data set using the data mining tool WEKA, and then analyze the data set related to the creativity The goal is to analyze the features using various machine learning techniques. I use seven feature selection algorithms, select feature groups classified by feature selection algorithms, apply them to machine learning algorithms to find out the accuracy, and derive the results.
Keywords
Big 5; WEKA; Datamining; Machine Learning; Select attributes;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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