Learning Algorithms in AI System and Services
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
In recent years, artificial intelligence (AI) services have become one of the most essential parts to extend humancapabilities in various fields such as face recognition for security, weather prediction, and so on. Variouslearning algorithms for existing AI services are utilized, such as classification, regression, and deep learning, toincrease accuracy and efficiency for humans. Nonetheless, these services face many challenges such as fake newsspread on social media, stock selection, and volatility delay in stock prediction systems and inaccurate moviebasedrecommendation systems. In this paper, various algorithms are presented to mitigate these issues indifferent systems and services. Convolutional neural network algorithms are used for detecting fake news inKorean language with a Word-Embedded model. It is based on k-clique and data mining and increasedaccuracy in personalized recommendation-based services stock selection and volatility delay in stockprediction. Other algorithms like multi-level fusion processing address problems of lack of real-time database.
Abstract
In recent years, artificial intelligence (AI) services have become one of the most essential parts to extend humancapabilities in various fields such as face recognition for security, weather prediction, and so on. Variouslearning algorithms for existing AI services are utilized, such as classification, regression, and deep learning, toincrease accuracy and efficiency for humans. Nonetheless, these services face many challenges such as fake newsspread on social media, stock selection, and volatility delay in stock prediction systems and inaccurate moviebasedrecommendation systems. In this paper, various algorithms are presented to mitigate these issues indifferent systems and services. Convolutional neural network algorithms are used for detecting fake news inKorean language with a Word-Embedded model. It is based on k-clique and data mining and increasedaccuracy in personalized recommendation-based services stock selection and volatility delay in stockprediction. Other algorithms like multi-level fusion processing address problems of lack of real-time database.
참고문헌 (18)
- Miaomiao Liu, "Community Discovery in Weighted Networks Based on the Similarity of Common Neighbors", JIPS(Journal of Information Processing Systems), 15(5), pp.1055~1067 (2019), 한국정보처리학회[DOI]
- Runlan Tian, "Multi-Level Fusion Processing Algorithm for Complex Radar Signals Based on Evidence Theory", JIPS(Journal of Information Processing Systems), 15(5), pp.1243~1257 (2019), 한국정보처리학회[DOI]
- Hui Zeng, "Learning-Based Multiple Pooling Fusion in Multi-View Convolutional Neural Network for 3D Model Classification and Retrieval", JIPS(Journal of Information Processing Systems), 15(5), pp.1179~1191 (2019), 한국정보처리학회[DOI]
- Fang-li Guan, "An Improved Fast Camera Calibration Method for Mobile Terminals", JIPS(Journal of Information Processing Systems), 15(5), pp.1082~1095 (2019), 한국정보처리학회[DOI]
- Xin-Xin Wang, "A Video Traffic Flow Detection System Based on Machine Vision", JIPS(Journal of Information Processing Systems), 15(5), pp.1218~1230 (2019), 한국정보처리학회[DOI]
- Ximei Liu, "Mean-VaR Portfolio: An Empirical Analysis of Price Forecasting of the Shanghai and Shenzhen Stock Markets", JIPS(Journal of Information Processing Systems), 15(5), pp.1201~1210 (2019), 한국정보처리학회[DOI]
- Achmad Rizal, "Lung Sound Classification Using Hjorth Descriptor Measurement on Wavelet Sub-bands", JIPS(Journal of Information Processing Systems), 15(5), pp.1068~1081 (2019), 한국정보처리학회[DOI]
- Junrui Lv, "Image Denoising via Fast and Fuzzy Non-local Means Algorithm", JIPS(Journal of Information Processing Systems), 15(5), pp.1108~1118 (2019), 한국정보처리학회[DOI]
- Kaiqun Hu, "Research on the Variable Rate Spraying System Based on Canopy Volume Measurement", JIPS(Journal of Information Processing Systems), 15(5), pp.1131~1140 (2019), 한국정보처리학회[DOI]
- Hongyi Cao, "An Optimization Method for the Calculation of SCADA Main Grid's Theoretical Line Loss Based on DBSCAN", JIPS(Journal of Information Processing Systems), 15(5), pp.1156~1170 (2019), 한국정보처리학회[DOI]
- 김현희, "An Ontology-Based Labeling of Influential Topics Using Topic Network Analysis", JIPS(Journal of Information Processing Systems), 15(5), pp.1096~1107 (2019), 한국정보처리학회[DOI]
- 이동호, "Fake News Detection Using Deep Learning", JIPS(Journal of Information Processing Systems), 15(5), pp.1119~1130 (2019), 한국정보처리학회[DOI]
- 김미희, "Privacy-Preservation Using Group Signature for Incentive Mechanisms in Mobile Crowd Sensing", JIPS(Journal of Information Processing Systems), 15(5), pp.1036~1054 (2019), 한국정보처리학회[DOI]
- 김기성, "New Construction of Order-Preserving Encryption Based on Order-Revealing Encryption", JIPS(Journal of Information Processing Systems), 15(5), pp.1211~1217 (2019), 한국정보처리학회[DOI]
- Phonexay Vilakone, "Personalized Movie Recommendation System Combining Data Mining with the k-Clique Method", JIPS(Journal of Information Processing Systems), 15(5), pp.1141~1155 (2019), 한국정보처리학회[DOI]
- 조영수, "Image Understanding for Visual Dialog", JIPS(Journal of Information Processing Systems), 15(5), pp.1171~1178 (2019), 한국정보처리학회[DOI]
- Yeonguk Yu, "Two-Dimensional Attention-Based LSTM Model for Stock Index Prediction", JIPS(Journal of Information Processing Systems), 15(5), pp.1231~1242 (2019), 한국정보처리학회[DOI]
- 임종범, "Intelligent Resource Management Schemes for Systems, Services, and Applications of Cloud Computing Based on Artificial Intelligence", JIPS(Journal of Information Processing Systems), 15(5), pp.1192~1200 (2019), 한국정보처리학회[DOI]