Digital Library
Search: "[ author: Soowon Lee ]" (5)
Automatic Tag Classification from Sound Data for Graph-Based Music Recommendation
Taejin Kim, Heechan Kim, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 10, pp. 399-406,
Oct.
2021
https://doi.org/10.3745/KTSDE.2021.10.10.399
Keywords: Music Recommendation, Automatic Tag Classification, Sound Data
https://doi.org/10.3745/KTSDE.2021.10.10.399
Keywords: Music Recommendation, Automatic Tag Classification, Sound Data
Deep Learning-Based Stock Fluctuation Prediction According to Overseas Indices and Trading Trend by Investors
Tae Seung Kim, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 367-374,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.367
Keywords: Stock Price Fluctuation Prediction, Deep Learning, Overseas Indices, Trading Trends by Investor
https://doi.org/10.3745/KTSDE.2021.10.9.367
Keywords: Stock Price Fluctuation Prediction, Deep Learning, Overseas Indices, Trading Trends by Investor
Hourly Prediction of Particulate Matter (PM2.5) Concentration Using Time Series Data and Random Forest
Deukwoo Lee, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 4, pp. 129-136,
Apr.
2020
https://doi.org/10.3745/KTSDE.2020.9.4.129
Keywords: Particulate Matter, PM2.5, Time Series Data, Machine Learning, Random Forest
https://doi.org/10.3745/KTSDE.2020.9.4.129
Keywords: Particulate Matter, PM2.5, Time Series Data, Machine Learning, Random Forest
Predicting Win-Loss of League of Legends Using Bidirectional LSTM Embedding
Cheolgi Kim, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 2, pp. 61-68,
Feb.
2020
https://doi.org/10.3745/KTSDE.2020.9.2.61
Keywords: League of Legends, Win-Loss Prediction, Machine Learning, Neural Network, LSTM
https://doi.org/10.3745/KTSDE.2020.9.2.61
Keywords: League of Legends, Win-Loss Prediction, Machine Learning, Neural Network, LSTM
Competition Analysis to Improve the Performance of Movie Box-Office Prediction
Guijia He, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 9, pp. 437-444,
Sep.
2017
10.3745/KTSDE.2017.6.9.437
Keywords: Movie Box-Office, Box-Office Prediction, Performance Improvement, Competition Analysis, Competition Prediction
10.3745/KTSDE.2017.6.9.437
Keywords: Movie Box-Office, Box-Office Prediction, Performance Improvement, Competition Analysis, Competition Prediction
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
