• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Search: "[ keyword: 머신러닝 ]" (17)
  1. 11. Exploring the Predictive Variables of Government Statistical Indicators on Retail sales Using Machine Learning: Focusing on Pharmacy
    Gwang-Su Lee, Vol. 23, No. 3, pp. 125-135, Jun. 2022
    10.7472/jksii.2022.23.3.125
    Keywords: Machine Learning, Random Forest, XGBoost, LightGBM, CatBoost, Government Statistical Indicators
  2. 12. Machine Learning based Firm Value Prediction Model: using Online Firm Reviews
    Hanjun Lee, Dongwon Shin, Hee-Eun Kim, Vol. 22, No. 5, pp. 79-86, Oct. 2021
    10.7472/jksii.2021.22.5.79
    Keywords: Firm value, Machine Learning, Online Review, Firm review, Jobplanet
  3. 13. A Noise-Tolerant Hierarchical Image Classification System based on Autoencoder Models
    Jong-kwan Lee, Vol. 22, No. 1, pp. 23-30, Feb. 2021
    10.7472/jksii.2021.22.1.23
    Keywords: Image Classification, Deep Learning, Machine Learning, Autoencoder, noise
  4. 14. Prediction of infectious diseases using multiple web data and LSTM
    Yeongha Kim, Inhwan Kim, Beakcheol Jang, Vol. 21, No. 5, pp. 139-148, Oct. 2020
    10.7472/jksii.2020.21.5.139
    Keywords: Machine Learning, Predict infectious diseases, Web data, LSTM
  5. 15. A study on evaluation method of NIDS datasets in closed military network
    Yong-bin Park, Sung-uk Shin, In-sup Lee, Vol. 21, No. 2, pp. 121-130, Apr. 2020
    10.7472/jksii.2020.21.2.121
    Keywords: dataset, Network intrusion detection system, Data evaluation, Machine Learning
  6. 16. A Research in Applying Big Data and Artificial Intelligence on Defense Metadata using Multi Repository Meta-Data Management (MRMM)
    Philip Wootaek Shin, Jinhee Lee, Jeongwoo Kim, Dongsun Shin, Youngsang Lee, Seung Ho Hwang, Vol. 21, No. 1, pp. 169-178, Feb. 2020
    10.7472/jksii.2020.21.1.169
    Keywords: National Defense, Metadata, Natural Language Processing, Standardized Dictionary, Metadata Management, Big data, Artificial intelligence, Machine Learning
  7. 17. Development of Journal Recommendation Method Considering Importance of Decision Factors Based on Researchers' Paper Publication History
    Yeonbin Son, Tai-Woo Chang, Yerim Choi, Vol. 20, No. 4, pp. 73-79, Aug. 2019
    10.7472/jksii.2019.20.4.73
    Keywords: journal recommendation, importance by decision factors, paper publication history, Machine Learning, Data Analysis

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