• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Search: "[ keyword: Random Forest ]" (5)
  1. 1. Anomaly detection and attack type classification mechanism using Extra Tree and ANN
    Min-Gyu Kim, Myung-Mook Han, Vol. 23, No. 5, pp. 79-85, Oct. 2022
    10.7472/jksii.2022.23.5.79
    Keywords: Extreme Random Forest, Artificial neural network, Anomaly Detection, Anomaly Detection and Attack type Classification, Network intrusion detection
  2. 2. 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
  3. 3. A research on the emotion classification and precision improvement of EEG(Electroencephalogram) data using machine learning algorithm
    Hyunju Lee, Dongil Shin, Dongkyoo Shin, Vol. 20, No. 5, pp. 27-36, Oct. 2019
    10.7472/jksii.2019.20.5.27
    Keywords: DEAP dataset, ICA, Arousal-Valence plane, Random Forest, Attribute Selected Classifier
  4. 4. The prediction of appearance of jellyfish through Deep Neural Network
    CHEOLHUN HWANG, Myung-Mook Han, Vol. 20, No. 5, pp. 1-8, Oct. 2019
    10.7472/jksii.2019.20.5.1
    Keywords: deep neural network, Bootstrapping, Data Expansion, Transfer Learning, Random Forest, Sequence Forward Selection
  5. 5. Research on improving correctness of cardiac disorder data classifier by applying Best-First decision tree method
    Hyun-Ju Lee, Dong-Kyoo Shin, Hee-Won Park, Soo-Han Kim, Dong-Il Shin, Vol. 12, No. 6, pp. 63-72, Dec. 2011
    Keywords: ECG, classifier, R-R interval, SVM, MLP, Random Forest, B-F Tree, Accuracy

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