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논문검색

Human-Machine Interaction Technology (HIT)

A study of creative human judgment through the application of machine learning algorithms and feature selection algorithms

초록

영어

In this study, there are many difficulties in defining and judging creative people because there is no systematic analysis method using accurate standards or numerical values. Analyze and judge whether In the previous study, A study on the application of rule success cases through machine learning algorithm extraction, a case study was conducted to help verify or confirm the psychological personality test and aptitude test. We proposed a solution to a research problem in psychology using machine learning algorithms, Data Mining's Cross Industry Standard Process for Data Mining, and CRISP-DM, which were used in previous studies. After that, this study proposes a solution that helps to judge creative people by applying the feature selection algorithm. In this study, the accuracy was found by using seven feature selection algorithms, and by selecting the feature group classified by the feature selection algorithms, and the result of deriving the classification result with the highest feature obtained through the support vector machine algorithm was obtained.

목차

Abstract
1. Introduction
2. Related Research & Techniques
2.1 Related Research
2.2 Techniques
3. Description and application of the proposed model
4. Results of the Experiment
5. Conclusion
References

저자정보

  • Yong Jun Kim Tomato system, Seoul, Korea,
  • Jung Min Park Professor, Tech university of Korea

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