TY - JOUR
T1 - Learning algorithms in AI system and services
AU - Jeong, Young Sik
AU - Park, Jong Hyuk
N1 - Publisher Copyright:
© 2019 KIPS.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Blockchain and Crypto Currency
KW - Cloud Computing
KW - Internet of Things
KW - Sentiment Analysis
UR - http://www.scopus.com/inward/record.url?scp=85074940675&partnerID=8YFLogxK
U2 - 10.3745/JIPS.02.0118
DO - 10.3745/JIPS.02.0118
M3 - Article
AN - SCOPUS:85074940675
SN - 1976-913X
VL - 15
SP - 1029
EP - 1035
JO - Journal of Information Processing Systems
JF - Journal of Information Processing Systems
IS - 5
ER -