Financial news-based stock movement prediction using causality analysis of influence in the Korean stock market KH Nam, NY Seong Decision Support Systems 117, 100-112, 2019 | 143 | 2019 |
Predicting stock movements based on financial news with segmentation N Seong, K Nam Expert Systems with Applications 164, 113988, 2021 | 34 | 2021 |
Deep reinforcement learning for stock portfolio optimization by connecting with modern portfolio theory J Jang, NY Seong Expert Systems with Applications 218, 119556, 2023 | 24 | 2023 |
Forecasting price movements of global financial indexes using complex quantitative financial networks N Seong, K Nam Knowledge-Based Systems 235, 107608, 2022 | 15 | 2022 |
A study on influencing factors for customer satisfaction and the continuing use of social network services in financial industry K Nam, N Seong Enterprise Information Systems 15 (3), 395-419, 2021 | 10 | 2021 |
Deep spatiotemporal attention network for fine particle matter 2.5 concentration prediction with causality analysis N Seong Ieee Access 9, 73230-73239, 2021 | 9 | 2021 |
Combining Macro-economical Effects with Sentiment Analysis for Stock Index Prediction N Seong, K Nam Entrue Journal of Information Technology 16 (2), 41-54, 2017 | 8 | 2017 |
Online news-based stock price forecasting considering homogeneity in the industrial sector N Seong, K Nam Journal of Intelligence and Information Systems 24 (2), 1-19, 2018 | 3 | 2018 |
Predicting stock movements based on financial news with systematic group identification NY Seong, K Nam Journal of Intelligence and Information Systems 25 (3), 1-17, 2019 | 2 | 2019 |
Prediction of a hit drama with a pattern analysis on early viewing ratings K Nam, N Seong Journal of Intelligence and Information Systems 24 (4), 33-49, 2018 | | 2018 |