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JIPS (한국정보처리학회)

Current Result Document : 2 / 28 이전건 이전건   다음건 다음건

한글제목(Korean Title) Learning Algorithms in AI System and Services
영문제목(English Title) Learning Algorithms in AI System and Services
저자(Author) Young-Sik Jeong   Jong Hyuk Park  
원문수록처(Citation) VOL 15 NO. 05 PP. 1029 ~ 1035 (2019. 10)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
In recent years, artificial intelligence (AI) services have become one of the most essential parts to extend human capabilities in various fields such as face recognition for security, weather prediction, and so on. Various learning algorithms for existing AI services are utilized, such as classification, regression, and deep learning, to increase accuracy and efficiency for humans. Nonetheless, these services face many challenges such as fake news spread on social media, stock selection, and volatility delay in stock prediction systems and inaccurate moviebased recommendation systems. In this paper, various algorithms are presented to mitigate these issues in different systems and services. Convolutional neural network algorithms are used for detecting fake news in Korean language with a Word-Embedded model. It is based on k-clique and data mining and increased accuracy in personalized recommendation-based services stock selection and volatility delay in stock prediction. Other algorithms like multi-level fusion processing address problems of lack of real-time database.
키워드(Keyword) Blockchain and Crypto Currency   Cloud Computing   Internet of Things   Sentiment Analysis  
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